diff --git a/scripts/check.mjs b/scripts/check.mjs
index 9235ab7..fdca0cc 100644
--- a/scripts/check.mjs
+++ b/scripts/check.mjs
@@ -163,6 +163,17 @@ const requestedConceptSlugs = [
   "revolve-self-improvement-loop",
   "five-minute-repository-maintainer-loop",
   "recent-feedback-sweep",
+  "promise-to-proof-loop",
+  "propagation-compliance-loop",
+  "multi-llm-convergence-loop",
+  "goal-forge-loop",
+  "ui-ux-score-loop",
+  "cold-load-trimmer-loop",
+  "pixel-safe-css-trim-loop",
+  "easy-onboarding-loop",
+  "accessibility-repair-loop",
+  "housekeeper-loop",
+  "axelrod-subagent-arena-loop",
 ];
 const submissionPromptAnchors = new Map([
   ["ticket-to-pr-ready-loop", ["bug report", "customer complaint"]],
@@ -183,6 +194,20 @@ const submissionPromptAnchors = new Map([
     "five-minute-repository-maintainer-loop",
     ["every five minutes", "one thread per repository", "autoreview"],
   ],
+  ["promise-to-proof-loop", ["customer-facing promise", "proven", "trust risk"]],
+  ["propagation-compliance-loop", ["old value", "zero stale values", "two rounds"]],
+  [
+    "multi-llm-convergence-loop",
+    ["two genuinely different model families", "same unchanged version", "oscillation"],
+  ],
+  ["goal-forge-loop", ["SPEC.md", "GOAL.md", "done_when"]],
+  ["ui-ux-score-loop", ["UI/UX Score Loop", "fresh state", "two full passes"]],
+  ["cold-load-trimmer-loop", ["transferred bytes", "pixel-identical", "revert"]],
+  ["pixel-safe-css-trim-loop", ["one declaration or rule", "pixel-identical", "built CSS"]],
+  ["easy-onboarding-loop", ["clean session", "onboarding", "product requirement"]],
+  ["accessibility-repair-loop", ["highest-impact blocker", "same checks", "weaken the target"]],
+  ["housekeeper-loop", ["dead code", "unused dependencies", "runtime checks"]],
+  ["axelrod-subagent-arena-loop", ["Axelrod", "always-defect", "180 rounds"]],
 ]);
 
 assert.equal(collection.mainEntity.numberOfItems, loops.length);
@@ -200,7 +225,7 @@ assert.deepEqual(agentLoopTerm.sameAs, [
   "https://code.claude.com/docs/en/agent-sdk/agent-loop",
   "https://arxiv.org/abs/2210.03629",
 ]);
-assert.equal(loops.length, 31);
+assert.equal(loops.length, 42);
 assert.equal(slugs.size, loops.length);
 assert.equal(featuredLoopSlugs.length, 3);
 assert.equal(new Set(featuredLoopSlugs).size, featuredLoopSlugs.length);
diff --git a/scripts/loop-data.mjs b/scripts/loop-data.mjs
index 28e3dd3..116d196 100644
--- a/scripts/loop-data.mjs
+++ b/scripts/loop-data.mjs
@@ -4,8 +4,8 @@ export const site = {
   baseUrl: "https://signals.forwardfuture.ai/loop-library/",
   description:
     "Practical AI agent workflows for engineering, research, editorial work, evaluation, and operations.",
-  updated: "2026-06-19",
-  socialImageVersion: "20260619-8",
+  updated: "2026-06-20",
+  socialImageVersion: "20260620-2",
   socialImageExtension: "png",
   socialImageMimeType: "image/png",
 };
@@ -1272,4 +1272,439 @@ export const loops = [
     ],
     related: ["full-product-evaluation-loop", "quality-streak-loop"],
   },
+  {
+    number: "032",
+    slug: "promise-to-proof-loop",
+    title: "The promise-to-proof loop",
+    summary:
+      "Audits customer-facing promises and closes the highest-risk gaps with current evidence.",
+    seoTitle: "Promise-to-Proof Product Audit | Loop Library",
+    description:
+      "An evidence-based product trust workflow that audits public claims, fixes the highest-risk proof gap, and repeats until unsupported promises are resolved.",
+    categoryLabel: "AI product evaluation workflow",
+    author: "Felix Haeberle (@felixhaberle)",
+    published: "2026-06-20",
+    modified: "2026-06-20",
+    prompt:
+      "Audit every public or customer-facing promise in [product]. Classify each claim as proven, partially proven, misleading, unsupported, stale, or missing proof using current product evidence. Rank gaps by trust risk, fix the highest-leverage one, and rerun the affected checks. Repeat until no high-risk unsupported promise remains or progress needs approval. Ask before changing production or publishing customer-facing material. Return the inventory, fixes, evidence, and open decisions.",
+    verifyTitle: "No high-risk customer promise lacks current proof.",
+    verifyDetail:
+      "Every claim has an evidence-backed status, the highest-risk gaps are resolved or approval-gated, and affected surfaces pass the same checks again.",
+    useWhen:
+      "Use this when product behavior, marketing, documentation, demos, or AI-generated answers may have drifted apart and trust depends on reconciling the promises with current evidence.",
+    steps: [
+      "Inventory public and customer-facing promises across the agreed surfaces, then express each one as a concrete user expectation.",
+      "Check each claim against current product behavior, code, tests, documentation, examples, logs, and other available evidence; classify the result without guessing.",
+      "Rank unsupported or weakly supported claims by trust risk, fix the highest-leverage gap, and ask before production changes or publication.",
+      "Rerun the affected checks under the same evidence standard and repeat until no high-risk unsupported promise remains or progress reaches a named terminal state.",
+    ],
+    why:
+      "A claim inventory turns vague trust concerns into reviewable evidence. Fixing one high-risk gap at a time keeps product, proof, and public language aligned without letting a broad audit become an uncontrolled rewrite.",
+    note:
+      "Preserve the submitted distinctions: proven, partially proven, misleading, unsupported, stale, and missing proof. A claim can be narrowed or supported instead of forcing the product to change, but deployment and customer-facing publication still require approval.",
+    keywords: [
+      "product promise audit",
+      "customer trust",
+      "claim verification",
+      "evidence based product review",
+      "marketing product alignment",
+    ],
+    related: ["full-product-evaluation-loop", "recent-feedback-sweep"],
+  },
+  {
+    number: "033",
+    slug: "propagation-compliance-loop",
+    title: "The propagation compliance loop",
+    summary:
+      "Finds and fixes stale references after versions, rules, counts, or configurations change.",
+    seoTitle: "Repository Propagation Compliance Loop | Loop Library",
+    description:
+      "A repository consistency workflow that cascades state changes, searches for stale references, and proves that every confirmed discrepancy is resolved.",
+    categoryLabel: "AI coding agent workflow",
+    author: "@iamTristan",
+    published: "2026-06-20",
+    modified: "2026-06-20",
+    prompt:
+      "After changing a version, count, rule, or configuration, update every affected file. Search for the old value and related stale references; distinguish real discrepancies from intentional history, examples, migrations, or compatibility rules. Fix every confirmed discrepancy and rerun the same searches until zero stale values remain. If the same discrepancy survives two rounds, stop and report what appears to be regenerating it. Return the changes and verification output.",
+    verifyTitle: "The affected repository contains zero confirmed stale values.",
+    verifyDetail:
+      "The original and related search terms return only intentional matches, and the final search output records why each remaining match is valid.",
+    useWhen:
+      "Use this after changing a version, count, rule, configuration value, identifier, or other state that is duplicated across code, documentation, memory, or operational files.",
+    steps: [
+      "Map the state change to every affected file and cascade the new value through the known dependency surface.",
+      "Search for the old value and related stale forms, treating each match as a candidate rather than automatically rewriting history or compatibility examples.",
+      "Fix every confirmed discrepancy, rerun the same searches, and record intentional matches with their justification.",
+      "Continue until zero stale values remain; if the same discrepancy survives two rounds, stop and identify the process that may be regenerating it.",
+    ],
+    why:
+      "The second search is the important part: it catches propagation gaps that a single update pass misses. Candidate classification also prevents the loop from corrupting intentional historical or compatibility references.",
+    note:
+      "The submitted example updates a daily note, HEARTBEAT, TOOLS, and a procedure file, then re-greps old versions until no discrepancy remains. Keep that proof discipline, but adapt the search terms and affected surface to the actual state change.",
+    keywords: [
+      "configuration propagation",
+      "version update audit",
+      "stale value search",
+      "repository consistency",
+      "grep verification loop",
+    ],
+    related: ["overnight-docs-sweep", "recent-feedback-sweep"],
+  },
+  {
+    number: "034",
+    slug: "multi-llm-convergence-loop",
+    title: "The multi-LLM convergence loop",
+    summary:
+      "Alternates independent model families until both clear the same unchanged artifact.",
+    seoTitle: "Multi-LLM Convergence Review Loop | Loop Library",
+    description:
+      "A cross-model review workflow that alternates two different model families, applies verified findings, and stops only on shared clearance or an honest stall.",
+    categoryLabel: "AI product evaluation workflow",
+    author: "Donn Felker (@donnfelker)",
+    sourceUrl: "https://github.com/donnfelker/loop-skills",
+    published: "2026-06-20",
+    modified: "2026-06-20",
+    prompt:
+      "Run multi-LLM convergence on [artifact] with [quality bar] and [pass limit]. Alternate two genuinely different model families sequentially. Verify and apply valid above-bar findings, then give the updated artifact to the other reviewer. Converge only after both independently clear the same unchanged version. Stop at the limit, oscillation, unavailable review, or approval-required work; never call a one-model result consensus. Return the artifact, round log, verdict, and disagreements.",
+    verifyTitle: "Two model families clear the same unchanged artifact.",
+    verifyDetail:
+      "Consecutive clean passes come from different model families, no edit separates them, and any cap, oscillation, unavailable reviewer, or approval gate is reported as a stall.",
+    useWhen:
+      "Use this for a specification, plan, design document, code change, or proposed review when genuine cross-model agreement is more useful than one reviewer's opinion.",
+    steps: [
+      "Confirm the artifact, quality bar, pass limit, and source-of-truth material before recording the baseline.",
+      "Send the current artifact to one model family, verify its findings, apply only valid above-bar changes, and record the round.",
+      "Send the updated artifact to the other model family and continue sequentially; any edit resets the clean-pass streak.",
+      "Declare convergence only after both families clear the same unchanged artifact, otherwise stop on the cap, oscillation, reviewer failure, or an approval boundary.",
+    ],
+    why:
+      "Alternating model families reduces correlated blind spots, while the unchanged-artifact rule prevents a clean review of one version from being paired with a clean review of another. The round log makes consensus auditable.",
+    note:
+      "This loop depends on access to two genuinely different model families and a way to supervise each review. If only one family is available, the run may continue only as a clearly labeled single-model review and must not claim cross-model convergence.",
+    keywords: [
+      "multi LLM review",
+      "cross model consensus",
+      "artifact convergence",
+      "alternating reviewers",
+      "independent AI review",
+    ],
+    related: ["clodex-adversarial-review-loop", "devils-advocate-design-loop"],
+  },
+  {
+    number: "035",
+    slug: "goal-forge-loop",
+    title: "The Goal Forge loop",
+    summary:
+      "Turns rough coding ideas into measurable, evidence-ready Codex execution contracts.",
+    seoTitle: "Goal Forge Specification Loop for Codex | Loop Library",
+    description:
+      "A specification workflow that interviews, tightens, and compiles a rough coding idea into a measurable SPEC.md and Codex GOAL.md contract.",
+    categoryLabel: "AI coding agent workflow",
+    author: "michael Guo (@michaelzsguo)",
+    sourceUrl: "https://github.com/michaelpersonal/goal-forge",
+    published: "2026-06-20",
+    modified: "2026-06-20",
+    prompt:
+      "Turn [rough coding idea] into a /goal-ready execution contract before implementation. Interview until scope, constraints, risks, edge cases, non-goals, and user-approved measurable done_when criteria are explicit. Write SPEC.md, tighten ambiguities, then compile GOAL.md with a scorecard, fast and final checks, working memory, approval boundaries, and evidence requirements. Stop as not ready if any essential decision or environment requirement remains unresolved. Do not run the goal without approval.",
+    verifyTitle: "SPEC.md and GOAL.md are measurable, runnable, and user-approved.",
+    verifyDetail:
+      "Every done_when item names observable evidence, the scorecard and feedback checks are executable, the environment is ready, and unresolved decisions stop as not ready.",
+    useWhen:
+      "Use this when a coding idea is still too ambiguous for long-running autonomous implementation and needs explicit scope, scoring, working memory, verification, and human controls first.",
+    steps: [
+      "Interview the user until intended behavior, non-goals, constraints, edge cases, risks, and user-approved measurable done_when criteria are explicit in SPEC.md.",
+      "Challenge ambiguities with distinct interpretations and resolve product decisions without silently adding scope.",
+      "Compile GOAL.md with the objective, scorecard, fast feedback loop, slower final check, working memory, approval boundaries, and evidence contract.",
+      "Check environment readiness and stop as not ready when any required decision, capability, permission, or verification path is missing; run the goal only after explicit approval.",
+    ],
+    why:
+      "Goal Forge separates product decisions from autonomous execution. A measurable contract, fast feedback, durable working memory, and honest not-ready state reduce the chance that a long run optimizes the wrong objective or mistakes activity for completion.",
+    note:
+      "The submitted workflow is specifically for Codex /goal work and uses SPEC.md, GOAL.md, PLAN.md, ATTEMPTS.md, and NOTES.md. Keep those names when the environment supports them; otherwise adapt the artifacts without weakening the user-approval and evidence gates.",
+    keywords: [
+      "Goal Forge",
+      "Codex goal planning",
+      "SPEC.md",
+      "GOAL.md",
+      "autonomous coding contract",
+    ],
+    related: ["codex-completion-contract-loop", "ticket-to-pr-ready-loop"],
+  },
+  {
+    number: "036",
+    slug: "ui-ux-score-loop",
+    title: "The UI/UX Score Loop",
+    summary:
+      "Improves complete user flows through fresh browser evidence and repeatable scoring.",
+    seoTitle: "Browser UI/UX Score Loop | Loop Library",
+    description:
+      "A browser-based UI and UX improvement workflow that captures complete flows, scores meaningful states, and keeps only regression-free gains.",
+    categoryLabel: "AI frontend design workflow",
+    author: "Hayden Cassar (@hcassar93)",
+    sourceUrl: "https://github.com/hcassar93/ui-ux-score-loop",
+    published: "2026-06-20",
+    modified: "2026-06-20",
+    prompt:
+      "Run UI/UX Score Loop on [flow] at [URL] with [completion criterion]. Use a real browser and fresh state for every breakpoint and mode. Capture and score each meaningful view, improve the lowest safe scores, then rerun the complete flow under the same conditions. Keep only regression-free improvements. Stop when the criterion is met, two full passes stall, access is blocked, or approval is required. Return the dashboard and evidence.",
+    verifyTitle: "The complete flow improves under the same fresh-state evidence matrix.",
+    verifyDetail:
+      "Every retained change raises the selected target without lowering another important view, and the final dashboard records browser, state, breakpoint, mode, scores, screenshots, and stop reason.",
+    useWhen:
+      "Use this to improve signup, login, onboarding, checkout, create-edit-delete, sharing, or another named product flow that can be exercised in a real browser and judged with a stable rubric.",
+    steps: [
+      "Confirm the flow boundary, exact entry point, completion criterion, browser, fresh-state policy, viewports, modes, view granularity, intensity, exclusions, and approval boundaries.",
+      "Run iteration zero without editing, capture every meaningful view under the full evidence matrix, score each one from the user's perspective, and build the dashboard.",
+      "Improve the lowest safe scores, then rerun the complete flow from fresh browser state under the same conditions and record every delta.",
+      "Keep only regression-free gains and repeat until the criterion is met, two complete passes stall, access is blocked, or the next useful change requires approval.",
+    ],
+    why:
+      "Fresh browser state prevents retained sessions from hiding onboarding and authentication friction. A complete flow matrix and fixed rubric turn visual judgment into comparable evidence while still respecting the product's real requirements.",
+    note:
+      "A flow is a user goal, not a guessed route. Start at the supplied URL exactly, or at the discoverable app root when no URL is supplied, and follow visible navigation. Capture only user-meaningful states, and do not infer quality from console output the user cannot see.",
+    keywords: [
+      "UI UX score",
+      "browser flow audit",
+      "responsive design review",
+      "fresh browser state",
+      "user experience improvement",
+    ],
+    related: ["war-loops-frontend-designer", "full-product-evaluation-loop"],
+  },
+  {
+    number: "037",
+    slug: "cold-load-trimmer-loop",
+    title: "The cold-load trimmer loop",
+    summary:
+      "Cuts first-load bytes while preserving tests and pixel-identical initial screens.",
+    seoTitle: "Cold-Load Byte Reduction Loop | Loop Library",
+    description:
+      "A first-load optimization workflow that establishes tests, visual baselines, and transferred-byte measurements before keeping one safe reduction at a time.",
+    categoryLabel: "AI coding agent workflow",
+    author: "Christian Katzmann",
+    sourceUrl: "https://github.com/Christian-Katzmann",
+    published: "2026-06-20",
+    modified: "2026-06-20",
+    prompt:
+      "Reduce first-load transferred bytes without changing the first screen. Before deleting anything, establish passing tests, representative screenshots, and a repeatable byte baseline. Treat analyzer findings as candidates. Make one deferral, lazy-load, compression, or removal change; rebuild and rerun every gate. Keep it only if tests pass, screenshots remain pixel-identical, and transferred bytes decrease; otherwise revert. Repeat until no viable candidate remains or attempts stall. Ask before deployment or uncertain dependency removal. Return measurements, changes, and coverage gaps.",
+    verifyTitle: "Transferred bytes decrease without a covered behavior or pixel changing.",
+    verifyDetail:
+      "The same production-shaped measurement shows a smaller first load, existing tests pass, every representative screenshot is pixel-identical, and any uncertain dependency removal remains approval-gated.",
+    useWhen:
+      "Use this when a web application ships too many compressed bytes on first load and the initial screen can be protected by repeatable tests, screenshots, and transfer measurements.",
+    steps: [
+      "Before deleting anything, establish green tests, representative mobile and desktop first-screen screenshots, image hashes, and a repeatable compressed transferred-byte baseline.",
+      "Run the bundle analyzer and production build report to generate candidates, then choose one safe deferral, lazy-load, compression, inlining, or removal hypothesis.",
+      "Rebuild and rerun tests, every screenshot hash, and the same byte measurement; keep the change only when all gates pass and bytes decrease, otherwise revert it completely.",
+      "Repeat until no viable candidate remains, several attempts fail to improve the baseline, measurement is unreliable, or the next change requires approval.",
+    ],
+    why:
+      "Putting the behavioral and visual gate before the first deletion prevents static-analysis false positives from becoming the new baseline. One change per round preserves causality and makes every accepted byte reduction reversible.",
+    note:
+      "Measure compressed transferred bytes rather than unminified source. The gate covers only the states it captures: add missing logged-out, logged-in, empty, error, or other representative states before trusting a change that could affect them.",
+    keywords: [
+      "first load bytes",
+      "bundle size optimization",
+      "pixel identical screenshots",
+      "lazy loading",
+      "web performance loop",
+    ],
+    related: ["sub-50ms-page-load-loop", "pixel-safe-css-trim-loop"],
+  },
+  {
+    number: "038",
+    slug: "pixel-safe-css-trim-loop",
+    title: "The pixel-safe CSS trim loop",
+    summary:
+      "Removes shipped CSS one verified unit at a time without visual drift.",
+    seoTitle: "Pixel-Safe CSS Reduction Loop | Loop Library",
+    description:
+      "A CSS cleanup workflow that captures the full visual-state matrix before deletion and keeps only changes that shrink built CSS with pixel-identical output.",
+    categoryLabel: "AI frontend design workflow",
+    author: "Christian Katzmann",
+    sourceUrl: "https://github.com/Christian-Katzmann",
+    published: "2026-06-20",
+    modified: "2026-06-20",
+    prompt:
+      "Reduce shipped CSS without changing any covered visual state. Before deleting anything, capture a representative screenshot matrix and record built CSS size; treat coverage findings as candidates. Remove one declaration or rule, rebuild, and rerun the full matrix and project checks. Keep it only if every screenshot is pixel-identical and the built CSS is smaller; otherwise revert. Repeat until no supported candidate remains or attempts plateau. Return the reduction, evidence, and uncovered browser or state risks.",
+    verifyTitle: "Built CSS shrinks while every covered visual state remains pixel-identical.",
+    verifyDetail:
+      "The complete screenshot matrix and project checks pass after each retained deletion, the shipped artifact is smaller, and uncovered browsers or states remain explicit risks.",
+    useWhen:
+      "Use this when a stylesheet that ships to users contains likely dead declarations, redundant rules, or order-dependent overrides and the complete visual surface can be captured repeatably.",
+    steps: [
+      "Before deleting anything, list representative pages, templates, viewports, modes, conditional states, hover and focus states, and variants; capture and hash the full screenshot matrix and record built CSS size.",
+      "Run CSS coverage to generate candidates, then remove one declaration or complete rule in the maintainable source of truth.",
+      "Rebuild, rerun project checks, render the entire matrix, and keep the deletion only when every screenshot is pixel-identical and the built CSS is smaller; otherwise revert it.",
+      "Repeat until no supported candidate remains, repeated deletions plateau, the gate cannot cover the affected behavior, or approval is required.",
+    ],
+    why:
+      "Capturing the visual specification before cleanup prevents missing styles from being normalized into the baseline. Exact image equality and one deletion per round expose order-dependent CSS that coverage tools alone cannot judge.",
+    note:
+      "The gate cannot protect a browser, interaction, animation, or conditional state it never renders. Add uncertain states before deleting their CSS, make maintainable changes in source, and measure the built artifact users actually download.",
+    keywords: [
+      "CSS cleanup",
+      "pixel safe CSS",
+      "visual regression testing",
+      "dead CSS removal",
+      "stylesheet optimization",
+    ],
+    related: ["cold-load-trimmer-loop", "ui-ux-score-loop"],
+  },
+  {
+    number: "039",
+    slug: "easy-onboarding-loop",
+    title: "The easy onboarding loop",
+    summary:
+      "Removes verified onboarding friction through repeated fresh-state end-to-end passes.",
+    seoTitle: "Fresh-State Onboarding Improvement Loop | Loop Library",
+    description:
+      "An onboarding workflow that starts from clean state, fixes one confirmed barrier, and reruns the complete experience while preserving every real requirement.",
+    categoryLabel: "AI product evaluation workflow",
+    author: "Eric Lott",
+    published: "2026-06-20",
+    modified: "2026-06-20",
+    prompt:
+      "Start [product] from a clean session and complete the entire onboarding flow using only what a new user or agent can see. Record each confirmed barrier, make the smallest improvement that preserves every onboarding, security, access, and product requirement, then discard the session and rerun from the real entry point. Repeat until one uninterrupted fresh pass succeeds, no safe improvement remains, progress is blocked, or approval is required. Return the path, changes, evidence, and blockers.",
+    verifyTitle: "One uninterrupted fresh session completes onboarding using only provided guidance.",
+    verifyDetail:
+      "The complete flow succeeds from the real entry point without retained state or undocumented repairs, and every requirement remains intact.",
+    useWhen:
+      "Use this when onboarding may contain unclear instructions, hidden assumptions, agent-hostile interactions, or excessive barriers that only appear from a genuinely new session.",
+    steps: [
+      "Create a clean session with no retained authentication, storage, remembered routes, undocumented setup, or repair from an earlier attempt.",
+      "Complete onboarding from the real entry point and record every confirmed unclear, unexplained, unnecessarily difficult, or unrecoverable step.",
+      "Fix the highest-impact barrier with the smallest change that preserves onboarding, security, access, and product requirements.",
+      "Discard the session and rerun the complete flow until one uninterrupted fresh pass succeeds or the loop reaches no progress, blocked, or approval-required state.",
+    ],
+    why:
+      "Fresh-state reruns expose assumptions that experienced users and retained sessions hide. Requiring one uninterrupted pass makes onboarding quality observable while the requirement-preservation rule prevents convenience from weakening real controls.",
+    note:
+      "Do not infer a deep route from the flow name or reuse a working session after a fix. Start where a real newcomer starts, follow only visible guidance, and record barriers that require a product decision instead of silently removing them.",
+    keywords: [
+      "onboarding improvement",
+      "fresh session testing",
+      "new user experience",
+      "agent friendly onboarding",
+      "onboarding friction",
+    ],
+    related: ["fresh-clone-loop", "full-product-evaluation-loop"],
+  },
+  {
+    number: "040",
+    slug: "accessibility-repair-loop",
+    title: "The accessibility repair loop",
+    summary:
+      "Fixes the highest-impact confirmed accessibility blocker and reruns the same evidence.",
+    seoTitle: "Accessibility Repair Loop | Loop Library",
+    description:
+      "An accessibility workflow that confirms issues against an agreed target, fixes one high-impact blocker, and reruns the same checks and user flow.",
+    categoryLabel: "AI frontend design workflow",
+    author: "Eric Lott",
+    published: "2026-06-20",
+    modified: "2026-06-20",
+    prompt:
+      "Audit [scope] against [accessibility standard] using the available automated and manual checks. Confirm and rank issues by user impact, fix the highest-impact blocker, then rerun the same checks, affected flow, and relevant regressions. Keep only verified fixes and repeat until no confirmed blocker remains, progress stalls, verification is unavailable, or approval is required. Never silence checks or weaken the target. Return findings, fixes, before-and-after evidence, exceptions, and coverage limits.",
+    verifyTitle: "No confirmed accessibility blocker remains in the agreed scope.",
+    verifyDetail:
+      "The same automated and manual evidence, affected user flow, and relevant regression checks pass after each retained fix without weakening the target.",
+    useWhen:
+      "Use this when a defined product surface and accessibility target can be checked repeatedly and the highest-impact barriers should be repaired before lower-impact polish.",
+    steps: [
+      "Define the pages, flows, or components in scope, the applicable accessibility target, available checks, and representative user flows before editing.",
+      "Run the baseline, confirm findings rather than trusting automated warnings blindly, and rank verified issues by affected users and impact.",
+      "Fix the highest-impact blocker with the smallest underlying change, then rerun the same accessibility evidence, affected flow, and relevant regressions.",
+      "Keep only verified fixes and repeat until no blocker remains or the loop reaches no progress, unverifiable, blocked, or approval-required state.",
+    ],
+    why:
+      "A fixed scope and repeated evidence prevent accessibility work from becoming an unbounded score chase. Confirming findings and repairing one blocker at a time keeps the work focused on real user impact.",
+    note:
+      "Automated tools are inputs, not proof. Do not silence checks, hide warnings, weaken the target, or claim success from a single score; document remaining exceptions and coverage limits explicitly.",
+    keywords: [
+      "accessibility audit",
+      "accessibility repair",
+      "WCAG workflow",
+      "inclusive design testing",
+      "accessibility regression",
+    ],
+    related: ["ui-ux-score-loop", "full-product-evaluation-loop"],
+  },
+  {
+    number: "041",
+    slug: "housekeeper-loop",
+    title: "The housekeeper loop",
+    summary:
+      "Makes small, verified repository cleanups while preserving uncertain and unrelated work.",
+    seoTitle: "Repository Housekeeper Cleanup Loop | Loop Library",
+    description:
+      "A conservative cleanup workflow that confirms one low-risk opportunity, makes the smallest coherent change, and retains it only after existing checks pass.",
+    categoryLabel: "AI coding agent workflow",
+    author: "Eric Lott",
+    published: "2026-06-20",
+    modified: "2026-06-20",
+    prompt:
+      "Review [repository] for dead code, stale files, unused dependencies, duplicate logic, broken links, outdated comments, inconsistent naming, and confusing structure. Preserve unrelated and uncertain work. Confirm one low-risk cleanup, make the smallest coherent change, and rerun the existing build, tests, and runtime checks. Keep only verified improvements and repeat until no confirmed low-risk cleanup remains, progress stalls, or approval is required. Return changes, evidence, and deferred candidates.",
+    verifyTitle: "Only confirmed low-risk cleanup remains, and existing behavior still passes.",
+    verifyDetail:
+      "Every retained change is supported by direct evidence, the relevant project checks pass, unrelated work is untouched, and uncertain candidates are deferred rather than deleted.",
+    useWhen:
+      "Use this for conservative codebase hygiene when small accumulations of dead code, stale files, unused dependencies, duplication, broken links, naming drift, or confusing structure are slowing maintenance.",
+    steps: [
+      "Inspect the current repository state and preserve unrelated, uncommitted, active, or uncertain work before collecting cleanup candidates.",
+      "Confirm one low-risk opportunity through references, configuration, tests, or other direct evidence, then make the smallest coherent change.",
+      "Run the existing build, tests, runtime checks, and diff review; keep the cleanup only when behavior remains intact and no unrelated change slipped in.",
+      "Repeat until no confirmed low-risk cleanup remains, progress stalls, verification is unavailable, or the next change requires approval.",
+    ],
+    why:
+      "One confirmed cleanup at a time keeps housekeeping reversible and reviewable. Evidence requirements and explicit protection for uncertain work prevent a tidy-up pass from deleting active or poorly understood code.",
+    note:
+      "This is codebase housekeeping, not the published repository cleanup loop for branches, pull requests, commits, and worktrees. Do not remove uncertain source, dependencies, generated assets, configuration, or user work merely because it looks unused.",
+    keywords: [
+      "codebase housekeeping",
+      "dead code cleanup",
+      "unused dependency review",
+      "repository hygiene",
+      "incremental cleanup",
+    ],
+    related: ["repository-cleanup-loop", "overnight-docs-sweep"],
+  },
+  {
+    number: "042",
+    slug: "axelrod-subagent-arena-loop",
+    title: "The Axelrod subagent arena loop",
+    summary:
+      "Benchmarks reasoning agents through a bounded, deterministic Prisoner's Dilemma tournament.",
+    seoTitle: "Axelrod Subagent Arena Benchmark | Loop Library",
+    description:
+      "A bounded multi-agent evaluation where reasoning subagents play repeated Prisoner's Dilemma matches against deterministic anchors with verified scoring.",
+    categoryLabel: "AI product evaluation workflow",
+    author: "Kan Yuenyong (@sikkha)",
+    sourceUrl: "https://github.com/sikkha/axelrod-loop-engineering",
+    published: "2026-06-20",
+    modified: "2026-06-20",
+    prompt:
+      "Run a bounded Axelrod-style Iterated Prisoner's Dilemma tournament with two reasoning subagents plus always-defect and always-cooperate anchors: three cycles, six pairings per cycle, and ten rounds per pairing. Hide opponent type and private reasoning, collect simultaneous C/D moves, score deterministically, and persist pairwise histories. Code may validate and score but never choose live-agent moves. Finish only after validating all 18 matches and 180 rounds; return payoff and ecological rankings, reasoning summaries, violations, and the complete record.",
+    verifyTitle: "All 18 matches and 180 rounds validate against the payoff matrix.",
+    verifyDetail:
+      "Every live move is recorded before scoring, deterministic totals reproduce from the complete history, invalid responses are logged, and partial or invalid tournaments remain explicitly incomplete.",
+    useWhen:
+      "Use this to study whether live reasoning subagents cooperate, retaliate, forgive, exploit, adapt strategies, and preserve pairwise memory under controlled repeated interaction.",
+    steps: [
+      "Create deterministic validation, scoring, anchor, scheduling, pair-keyed memory, strategy-brief, and reporting components without giving code control of live-agent moves.",
+      "At each of three cycles, have the two live agents commit to one bounded strategy using only their permitted prior pairwise histories.",
+      "Run six ten-round pairings with simultaneous C or D moves, hidden opponent type and reasoning, deterministic anchors, strict move validation, and complete persistent records.",
+      "Recompute all 18 matches and 180 rounds, then publish separate payoff and ecological rankings, strategy and reasoning summaries, violations, divergences, and the reproducible record.",
+    ],
+    why:
+      "Deterministic anchors expose exploitation and cooperation behavior while live subagents still choose every strategic move. Hidden types, simultaneous moves, pairwise memory, and recomputed scores keep the experiment controlled and auditable.",
+    note:
+      "The submitted experiment uses C/C=3/3, C/D=0/5, D/C=5/0, and D/D=1/1; one anchor always defects and one always cooperates. Run offline with local files when following the source, and never fit the result to the expected raw-payoff or cooperative-stability winner.",
+    keywords: [
+      "Axelrod tournament",
+      "Iterated Prisoner's Dilemma",
+      "multi agent benchmark",
+      "agent cooperation",
+      "reasoning subagent evaluation",
+    ],
+    related: ["boeing-747-benchmark", "full-product-evaluation-loop"],
+  },
 ];
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diff --git a/site/catalog.json b/site/catalog.json
index 06b5a7e..b9376dc 100644
--- a/site/catalog.json
+++ b/site/catalog.json
@@ -6,8 +6,8 @@
   "url": "https://signals.forwardfuture.ai/loop-library/",
   "catalogUrl": "https://signals.forwardfuture.ai/loop-library/catalog.json",
   "markdownUrl": "https://signals.forwardfuture.ai/loop-library/catalog.md",
-  "updated": "2026-06-19",
-  "loopCount": 31,
+  "updated": "2026-06-20",
+  "loopCount": 42,
   "categories": [
     {
       "slug": "engineering",
@@ -1498,6 +1498,529 @@
           "url": "https://signals.forwardfuture.ai/loop-library/loops/quality-streak-loop/"
         }
       ]
+    },
+    {
+      "number": "032",
+      "slug": "promise-to-proof-loop",
+      "title": "The promise-to-proof loop",
+      "url": "https://signals.forwardfuture.ai/loop-library/loops/promise-to-proof-loop/",
+      "category": {
+        "slug": "evaluation",
+        "label": "Evaluation"
+      },
+      "author": "Felix Haeberle (@felixhaberle)",
+      "published": "2026-06-20",
+      "modified": "2026-06-20",
+      "description": "An evidence-based product trust workflow that audits public claims, fixes the highest-risk proof gap, and repeats until unsupported promises are resolved.",
+      "useWhen": "Use this when product behavior, marketing, documentation, demos, or AI-generated answers may have drifted apart and trust depends on reconciling the promises with current evidence.",
+      "prompt": "Audit every public or customer-facing promise in [product]. Classify each claim as proven, partially proven, misleading, unsupported, stale, or missing proof using current product evidence. Rank gaps by trust risk, fix the highest-leverage one, and rerun the affected checks. Repeat until no high-risk unsupported promise remains or progress needs approval. Ask before changing production or publishing customer-facing material. Return the inventory, fixes, evidence, and open decisions.",
+      "verification": {
+        "title": "No high-risk customer promise lacks current proof.",
+        "detail": "Every claim has an evidence-backed status, the highest-risk gaps are resolved or approval-gated, and affected surfaces pass the same checks again."
+      },
+      "steps": [
+        "Inventory public and customer-facing promises across the agreed surfaces, then express each one as a concrete user expectation.",
+        "Check each claim against current product behavior, code, tests, documentation, examples, logs, and other available evidence; classify the result without guessing.",
+        "Rank unsupported or weakly supported claims by trust risk, fix the highest-leverage gap, and ask before production changes or publication.",
+        "Rerun the affected checks under the same evidence standard and repeat until no high-risk unsupported promise remains or progress reaches a named terminal state."
+      ],
+      "why": "A claim inventory turns vague trust concerns into reviewable evidence. Fixing one high-risk gap at a time keeps product, proof, and public language aligned without letting a broad audit become an uncontrolled rewrite.",
+      "implementationNote": "Preserve the submitted distinctions: proven, partially proven, misleading, unsupported, stale, and missing proof. A claim can be narrowed or supported instead of forcing the product to change, but deployment and customer-facing publication still require approval.",
+      "keywords": [
+        "product promise audit",
+        "customer trust",
+        "claim verification",
+        "evidence based product review",
+        "marketing product alignment"
+      ],
+      "related": [
+        {
+          "slug": "full-product-evaluation-loop",
+          "title": "The full product evaluation loop",
+          "url": "https://signals.forwardfuture.ai/loop-library/loops/full-product-evaluation-loop/"
+        },
+        {
+          "slug": "recent-feedback-sweep",
+          "title": "The recent-feedback sweep",
+          "url": "https://signals.forwardfuture.ai/loop-library/loops/recent-feedback-sweep/"
+        }
+      ]
+    },
+    {
+      "number": "033",
+      "slug": "propagation-compliance-loop",
+      "title": "The propagation compliance loop",
+      "url": "https://signals.forwardfuture.ai/loop-library/loops/propagation-compliance-loop/",
+      "category": {
+        "slug": "engineering",
+        "label": "Engineering"
+      },
+      "author": "@iamTristan",
+      "published": "2026-06-20",
+      "modified": "2026-06-20",
+      "description": "A repository consistency workflow that cascades state changes, searches for stale references, and proves that every confirmed discrepancy is resolved.",
+      "useWhen": "Use this after changing a version, count, rule, configuration value, identifier, or other state that is duplicated across code, documentation, memory, or operational files.",
+      "prompt": "After changing a version, count, rule, or configuration, update every affected file. Search for the old value and related stale references; distinguish real discrepancies from intentional history, examples, migrations, or compatibility rules. Fix every confirmed discrepancy and rerun the same searches until zero stale values remain. If the same discrepancy survives two rounds, stop and report what appears to be regenerating it. Return the changes and verification output.",
+      "verification": {
+        "title": "The affected repository contains zero confirmed stale values.",
+        "detail": "The original and related search terms return only intentional matches, and the final search output records why each remaining match is valid."
+      },
+      "steps": [
+        "Map the state change to every affected file and cascade the new value through the known dependency surface.",
+        "Search for the old value and related stale forms, treating each match as a candidate rather than automatically rewriting history or compatibility examples.",
+        "Fix every confirmed discrepancy, rerun the same searches, and record intentional matches with their justification.",
+        "Continue until zero stale values remain; if the same discrepancy survives two rounds, stop and identify the process that may be regenerating it."
+      ],
+      "why": "The second search is the important part: it catches propagation gaps that a single update pass misses. Candidate classification also prevents the loop from corrupting intentional historical or compatibility references.",
+      "implementationNote": "The submitted example updates a daily note, HEARTBEAT, TOOLS, and a procedure file, then re-greps old versions until no discrepancy remains. Keep that proof discipline, but adapt the search terms and affected surface to the actual state change.",
+      "keywords": [
+        "configuration propagation",
+        "version update audit",
+        "stale value search",
+        "repository consistency",
+        "grep verification loop"
+      ],
+      "related": [
+        {
+          "slug": "overnight-docs-sweep",
+          "title": "The docs sweep",
+          "url": "https://signals.forwardfuture.ai/loop-library/loops/overnight-docs-sweep/"
+        },
+        {
+          "slug": "recent-feedback-sweep",
+          "title": "The recent-feedback sweep",
+          "url": "https://signals.forwardfuture.ai/loop-library/loops/recent-feedback-sweep/"
+        }
+      ]
+    },
+    {
+      "number": "034",
+      "slug": "multi-llm-convergence-loop",
+      "title": "The multi-LLM convergence loop",
+      "url": "https://signals.forwardfuture.ai/loop-library/loops/multi-llm-convergence-loop/",
+      "category": {
+        "slug": "evaluation",
+        "label": "Evaluation"
+      },
+      "author": "Donn Felker (@donnfelker)",
+      "published": "2026-06-20",
+      "modified": "2026-06-20",
+      "description": "A cross-model review workflow that alternates two different model families, applies verified findings, and stops only on shared clearance or an honest stall.",
+      "useWhen": "Use this for a specification, plan, design document, code change, or proposed review when genuine cross-model agreement is more useful than one reviewer's opinion.",
+      "prompt": "Run multi-LLM convergence on [artifact] with [quality bar] and [pass limit]. Alternate two genuinely different model families sequentially. Verify and apply valid above-bar findings, then give the updated artifact to the other reviewer. Converge only after both independently clear the same unchanged version. Stop at the limit, oscillation, unavailable review, or approval-required work; never call a one-model result consensus. Return the artifact, round log, verdict, and disagreements.",
+      "verification": {
+        "title": "Two model families clear the same unchanged artifact.",
+        "detail": "Consecutive clean passes come from different model families, no edit separates them, and any cap, oscillation, unavailable reviewer, or approval gate is reported as a stall."
+      },
+      "steps": [
+        "Confirm the artifact, quality bar, pass limit, and source-of-truth material before recording the baseline.",
+        "Send the current artifact to one model family, verify its findings, apply only valid above-bar changes, and record the round.",
+        "Send the updated artifact to the other model family and continue sequentially; any edit resets the clean-pass streak.",
+        "Declare convergence only after both families clear the same unchanged artifact, otherwise stop on the cap, oscillation, reviewer failure, or an approval boundary."
+      ],
+      "why": "Alternating model families reduces correlated blind spots, while the unchanged-artifact rule prevents a clean review of one version from being paired with a clean review of another. The round log makes consensus auditable.",
+      "implementationNote": "This loop depends on access to two genuinely different model families and a way to supervise each review. If only one family is available, the run may continue only as a clearly labeled single-model review and must not claim cross-model convergence.",
+      "keywords": [
+        "multi LLM review",
+        "cross model consensus",
+        "artifact convergence",
+        "alternating reviewers",
+        "independent AI review"
+      ],
+      "related": [
+        {
+          "slug": "clodex-adversarial-review-loop",
+          "title": "The Clodex adversarial-review loop",
+          "url": "https://signals.forwardfuture.ai/loop-library/loops/clodex-adversarial-review-loop/"
+        },
+        {
+          "slug": "devils-advocate-design-loop",
+          "title": "The devil's-advocate loop",
+          "url": "https://signals.forwardfuture.ai/loop-library/loops/devils-advocate-design-loop/"
+        }
+      ],
+      "sourceUrl": "https://github.com/donnfelker/loop-skills"
+    },
+    {
+      "number": "035",
+      "slug": "goal-forge-loop",
+      "title": "The Goal Forge loop",
+      "url": "https://signals.forwardfuture.ai/loop-library/loops/goal-forge-loop/",
+      "category": {
+        "slug": "engineering",
+        "label": "Engineering"
+      },
+      "author": "michael Guo (@michaelzsguo)",
+      "published": "2026-06-20",
+      "modified": "2026-06-20",
+      "description": "A specification workflow that interviews, tightens, and compiles a rough coding idea into a measurable SPEC.md and Codex GOAL.md contract.",
+      "useWhen": "Use this when a coding idea is still too ambiguous for long-running autonomous implementation and needs explicit scope, scoring, working memory, verification, and human controls first.",
+      "prompt": "Turn [rough coding idea] into a /goal-ready execution contract before implementation. Interview until scope, constraints, risks, edge cases, non-goals, and user-approved measurable done_when criteria are explicit. Write SPEC.md, tighten ambiguities, then compile GOAL.md with a scorecard, fast and final checks, working memory, approval boundaries, and evidence requirements. Stop as not ready if any essential decision or environment requirement remains unresolved. Do not run the goal without approval.",
+      "verification": {
+        "title": "SPEC.md and GOAL.md are measurable, runnable, and user-approved.",
+        "detail": "Every done_when item names observable evidence, the scorecard and feedback checks are executable, the environment is ready, and unresolved decisions stop as not ready."
+      },
+      "steps": [
+        "Interview the user until intended behavior, non-goals, constraints, edge cases, risks, and user-approved measurable done_when criteria are explicit in SPEC.md.",
+        "Challenge ambiguities with distinct interpretations and resolve product decisions without silently adding scope.",
+        "Compile GOAL.md with the objective, scorecard, fast feedback loop, slower final check, working memory, approval boundaries, and evidence contract.",
+        "Check environment readiness and stop as not ready when any required decision, capability, permission, or verification path is missing; run the goal only after explicit approval."
+      ],
+      "why": "Goal Forge separates product decisions from autonomous execution. A measurable contract, fast feedback, durable working memory, and honest not-ready state reduce the chance that a long run optimizes the wrong objective or mistakes activity for completion.",
+      "implementationNote": "The submitted workflow is specifically for Codex /goal work and uses SPEC.md, GOAL.md, PLAN.md, ATTEMPTS.md, and NOTES.md. Keep those names when the environment supports them; otherwise adapt the artifacts without weakening the user-approval and evidence gates.",
+      "keywords": [
+        "Goal Forge",
+        "Codex goal planning",
+        "SPEC.md",
+        "GOAL.md",
+        "autonomous coding contract"
+      ],
+      "related": [
+        {
+          "slug": "codex-completion-contract-loop",
+          "title": "The Codex completion-contract loop",
+          "url": "https://signals.forwardfuture.ai/loop-library/loops/codex-completion-contract-loop/"
+        },
+        {
+          "slug": "ticket-to-pr-ready-loop",
+          "title": "The ticket-to-PR-ready loop",
+          "url": "https://signals.forwardfuture.ai/loop-library/loops/ticket-to-pr-ready-loop/"
+        }
+      ],
+      "sourceUrl": "https://github.com/michaelpersonal/goal-forge"
+    },
+    {
+      "number": "036",
+      "slug": "ui-ux-score-loop",
+      "title": "The UI/UX Score Loop",
+      "url": "https://signals.forwardfuture.ai/loop-library/loops/ui-ux-score-loop/",
+      "category": {
+        "slug": "design",
+        "label": "Design"
+      },
+      "author": "Hayden Cassar (@hcassar93)",
+      "published": "2026-06-20",
+      "modified": "2026-06-20",
+      "description": "A browser-based UI and UX improvement workflow that captures complete flows, scores meaningful states, and keeps only regression-free gains.",
+      "useWhen": "Use this to improve signup, login, onboarding, checkout, create-edit-delete, sharing, or another named product flow that can be exercised in a real browser and judged with a stable rubric.",
+      "prompt": "Run UI/UX Score Loop on [flow] at [URL] with [completion criterion]. Use a real browser and fresh state for every breakpoint and mode. Capture and score each meaningful view, improve the lowest safe scores, then rerun the complete flow under the same conditions. Keep only regression-free improvements. Stop when the criterion is met, two full passes stall, access is blocked, or approval is required. Return the dashboard and evidence.",
+      "verification": {
+        "title": "The complete flow improves under the same fresh-state evidence matrix.",
+        "detail": "Every retained change raises the selected target without lowering another important view, and the final dashboard records browser, state, breakpoint, mode, scores, screenshots, and stop reason."
+      },
+      "steps": [
+        "Confirm the flow boundary, exact entry point, completion criterion, browser, fresh-state policy, viewports, modes, view granularity, intensity, exclusions, and approval boundaries.",
+        "Run iteration zero without editing, capture every meaningful view under the full evidence matrix, score each one from the user's perspective, and build the dashboard.",
+        "Improve the lowest safe scores, then rerun the complete flow from fresh browser state under the same conditions and record every delta.",
+        "Keep only regression-free gains and repeat until the criterion is met, two complete passes stall, access is blocked, or the next useful change requires approval."
+      ],
+      "why": "Fresh browser state prevents retained sessions from hiding onboarding and authentication friction. A complete flow matrix and fixed rubric turn visual judgment into comparable evidence while still respecting the product's real requirements.",
+      "implementationNote": "A flow is a user goal, not a guessed route. Start at the supplied URL exactly, or at the discoverable app root when no URL is supplied, and follow visible navigation. Capture only user-meaningful states, and do not infer quality from console output the user cannot see.",
+      "keywords": [
+        "UI UX score",
+        "browser flow audit",
+        "responsive design review",
+        "fresh browser state",
+        "user experience improvement"
+      ],
+      "related": [
+        {
+          "slug": "war-loops-frontend-designer",
+          "title": "War Loops: frontend reconstruction",
+          "url": "https://signals.forwardfuture.ai/loop-library/loops/war-loops-frontend-designer/"
+        },
+        {
+          "slug": "full-product-evaluation-loop",
+          "title": "The full product evaluation loop",
+          "url": "https://signals.forwardfuture.ai/loop-library/loops/full-product-evaluation-loop/"
+        }
+      ],
+      "sourceUrl": "https://github.com/hcassar93/ui-ux-score-loop"
+    },
+    {
+      "number": "037",
+      "slug": "cold-load-trimmer-loop",
+      "title": "The cold-load trimmer loop",
+      "url": "https://signals.forwardfuture.ai/loop-library/loops/cold-load-trimmer-loop/",
+      "category": {
+        "slug": "engineering",
+        "label": "Engineering"
+      },
+      "author": "Christian Katzmann",
+      "published": "2026-06-20",
+      "modified": "2026-06-20",
+      "description": "A first-load optimization workflow that establishes tests, visual baselines, and transferred-byte measurements before keeping one safe reduction at a time.",
+      "useWhen": "Use this when a web application ships too many compressed bytes on first load and the initial screen can be protected by repeatable tests, screenshots, and transfer measurements.",
+      "prompt": "Reduce first-load transferred bytes without changing the first screen. Before deleting anything, establish passing tests, representative screenshots, and a repeatable byte baseline. Treat analyzer findings as candidates. Make one deferral, lazy-load, compression, or removal change; rebuild and rerun every gate. Keep it only if tests pass, screenshots remain pixel-identical, and transferred bytes decrease; otherwise revert. Repeat until no viable candidate remains or attempts stall. Ask before deployment or uncertain dependency removal. Return measurements, changes, and coverage gaps.",
+      "verification": {
+        "title": "Transferred bytes decrease without a covered behavior or pixel changing.",
+        "detail": "The same production-shaped measurement shows a smaller first load, existing tests pass, every representative screenshot is pixel-identical, and any uncertain dependency removal remains approval-gated."
+      },
+      "steps": [
+        "Before deleting anything, establish green tests, representative mobile and desktop first-screen screenshots, image hashes, and a repeatable compressed transferred-byte baseline.",
+        "Run the bundle analyzer and production build report to generate candidates, then choose one safe deferral, lazy-load, compression, inlining, or removal hypothesis.",
+        "Rebuild and rerun tests, every screenshot hash, and the same byte measurement; keep the change only when all gates pass and bytes decrease, otherwise revert it completely.",
+        "Repeat until no viable candidate remains, several attempts fail to improve the baseline, measurement is unreliable, or the next change requires approval."
+      ],
+      "why": "Putting the behavioral and visual gate before the first deletion prevents static-analysis false positives from becoming the new baseline. One change per round preserves causality and makes every accepted byte reduction reversible.",
+      "implementationNote": "Measure compressed transferred bytes rather than unminified source. The gate covers only the states it captures: add missing logged-out, logged-in, empty, error, or other representative states before trusting a change that could affect them.",
+      "keywords": [
+        "first load bytes",
+        "bundle size optimization",
+        "pixel identical screenshots",
+        "lazy loading",
+        "web performance loop"
+      ],
+      "related": [
+        {
+          "slug": "sub-50ms-page-load-loop",
+          "title": "The sub-50 ms page-load loop",
+          "url": "https://signals.forwardfuture.ai/loop-library/loops/sub-50ms-page-load-loop/"
+        },
+        {
+          "slug": "pixel-safe-css-trim-loop",
+          "title": "The pixel-safe CSS trim loop",
+          "url": "https://signals.forwardfuture.ai/loop-library/loops/pixel-safe-css-trim-loop/"
+        }
+      ],
+      "sourceUrl": "https://github.com/Christian-Katzmann"
+    },
+    {
+      "number": "038",
+      "slug": "pixel-safe-css-trim-loop",
+      "title": "The pixel-safe CSS trim loop",
+      "url": "https://signals.forwardfuture.ai/loop-library/loops/pixel-safe-css-trim-loop/",
+      "category": {
+        "slug": "design",
+        "label": "Design"
+      },
+      "author": "Christian Katzmann",
+      "published": "2026-06-20",
+      "modified": "2026-06-20",
+      "description": "A CSS cleanup workflow that captures the full visual-state matrix before deletion and keeps only changes that shrink built CSS with pixel-identical output.",
+      "useWhen": "Use this when a stylesheet that ships to users contains likely dead declarations, redundant rules, or order-dependent overrides and the complete visual surface can be captured repeatably.",
+      "prompt": "Reduce shipped CSS without changing any covered visual state. Before deleting anything, capture a representative screenshot matrix and record built CSS size; treat coverage findings as candidates. Remove one declaration or rule, rebuild, and rerun the full matrix and project checks. Keep it only if every screenshot is pixel-identical and the built CSS is smaller; otherwise revert. Repeat until no supported candidate remains or attempts plateau. Return the reduction, evidence, and uncovered browser or state risks.",
+      "verification": {
+        "title": "Built CSS shrinks while every covered visual state remains pixel-identical.",
+        "detail": "The complete screenshot matrix and project checks pass after each retained deletion, the shipped artifact is smaller, and uncovered browsers or states remain explicit risks."
+      },
+      "steps": [
+        "Before deleting anything, list representative pages, templates, viewports, modes, conditional states, hover and focus states, and variants; capture and hash the full screenshot matrix and record built CSS size.",
+        "Run CSS coverage to generate candidates, then remove one declaration or complete rule in the maintainable source of truth.",
+        "Rebuild, rerun project checks, render the entire matrix, and keep the deletion only when every screenshot is pixel-identical and the built CSS is smaller; otherwise revert it.",
+        "Repeat until no supported candidate remains, repeated deletions plateau, the gate cannot cover the affected behavior, or approval is required."
+      ],
+      "why": "Capturing the visual specification before cleanup prevents missing styles from being normalized into the baseline. Exact image equality and one deletion per round expose order-dependent CSS that coverage tools alone cannot judge.",
+      "implementationNote": "The gate cannot protect a browser, interaction, animation, or conditional state it never renders. Add uncertain states before deleting their CSS, make maintainable changes in source, and measure the built artifact users actually download.",
+      "keywords": [
+        "CSS cleanup",
+        "pixel safe CSS",
+        "visual regression testing",
+        "dead CSS removal",
+        "stylesheet optimization"
+      ],
+      "related": [
+        {
+          "slug": "cold-load-trimmer-loop",
+          "title": "The cold-load trimmer loop",
+          "url": "https://signals.forwardfuture.ai/loop-library/loops/cold-load-trimmer-loop/"
+        },
+        {
+          "slug": "ui-ux-score-loop",
+          "title": "The UI/UX Score Loop",
+          "url": "https://signals.forwardfuture.ai/loop-library/loops/ui-ux-score-loop/"
+        }
+      ],
+      "sourceUrl": "https://github.com/Christian-Katzmann"
+    },
+    {
+      "number": "039",
+      "slug": "easy-onboarding-loop",
+      "title": "The easy onboarding loop",
+      "url": "https://signals.forwardfuture.ai/loop-library/loops/easy-onboarding-loop/",
+      "category": {
+        "slug": "evaluation",
+        "label": "Evaluation"
+      },
+      "author": "Eric Lott",
+      "published": "2026-06-20",
+      "modified": "2026-06-20",
+      "description": "An onboarding workflow that starts from clean state, fixes one confirmed barrier, and reruns the complete experience while preserving every real requirement.",
+      "useWhen": "Use this when onboarding may contain unclear instructions, hidden assumptions, agent-hostile interactions, or excessive barriers that only appear from a genuinely new session.",
+      "prompt": "Start [product] from a clean session and complete the entire onboarding flow using only what a new user or agent can see. Record each confirmed barrier, make the smallest improvement that preserves every onboarding, security, access, and product requirement, then discard the session and rerun from the real entry point. Repeat until one uninterrupted fresh pass succeeds, no safe improvement remains, progress is blocked, or approval is required. Return the path, changes, evidence, and blockers.",
+      "verification": {
+        "title": "One uninterrupted fresh session completes onboarding using only provided guidance.",
+        "detail": "The complete flow succeeds from the real entry point without retained state or undocumented repairs, and every requirement remains intact."
+      },
+      "steps": [
+        "Create a clean session with no retained authentication, storage, remembered routes, undocumented setup, or repair from an earlier attempt.",
+        "Complete onboarding from the real entry point and record every confirmed unclear, unexplained, unnecessarily difficult, or unrecoverable step.",
+        "Fix the highest-impact barrier with the smallest change that preserves onboarding, security, access, and product requirements.",
+        "Discard the session and rerun the complete flow until one uninterrupted fresh pass succeeds or the loop reaches no progress, blocked, or approval-required state."
+      ],
+      "why": "Fresh-state reruns expose assumptions that experienced users and retained sessions hide. Requiring one uninterrupted pass makes onboarding quality observable while the requirement-preservation rule prevents convenience from weakening real controls.",
+      "implementationNote": "Do not infer a deep route from the flow name or reuse a working session after a fix. Start where a real newcomer starts, follow only visible guidance, and record barriers that require a product decision instead of silently removing them.",
+      "keywords": [
+        "onboarding improvement",
+        "fresh session testing",
+        "new user experience",
+        "agent friendly onboarding",
+        "onboarding friction"
+      ],
+      "related": [
+        {
+          "slug": "fresh-clone-loop",
+          "title": "The fresh-clone loop",
+          "url": "https://signals.forwardfuture.ai/loop-library/loops/fresh-clone-loop/"
+        },
+        {
+          "slug": "full-product-evaluation-loop",
+          "title": "The full product evaluation loop",
+          "url": "https://signals.forwardfuture.ai/loop-library/loops/full-product-evaluation-loop/"
+        }
+      ]
+    },
+    {
+      "number": "040",
+      "slug": "accessibility-repair-loop",
+      "title": "The accessibility repair loop",
+      "url": "https://signals.forwardfuture.ai/loop-library/loops/accessibility-repair-loop/",
+      "category": {
+        "slug": "design",
+        "label": "Design"
+      },
+      "author": "Eric Lott",
+      "published": "2026-06-20",
+      "modified": "2026-06-20",
+      "description": "An accessibility workflow that confirms issues against an agreed target, fixes one high-impact blocker, and reruns the same checks and user flow.",
+      "useWhen": "Use this when a defined product surface and accessibility target can be checked repeatedly and the highest-impact barriers should be repaired before lower-impact polish.",
+      "prompt": "Audit [scope] against [accessibility standard] using the available automated and manual checks. Confirm and rank issues by user impact, fix the highest-impact blocker, then rerun the same checks, affected flow, and relevant regressions. Keep only verified fixes and repeat until no confirmed blocker remains, progress stalls, verification is unavailable, or approval is required. Never silence checks or weaken the target. Return findings, fixes, before-and-after evidence, exceptions, and coverage limits.",
+      "verification": {
+        "title": "No confirmed accessibility blocker remains in the agreed scope.",
+        "detail": "The same automated and manual evidence, affected user flow, and relevant regression checks pass after each retained fix without weakening the target."
+      },
+      "steps": [
+        "Define the pages, flows, or components in scope, the applicable accessibility target, available checks, and representative user flows before editing.",
+        "Run the baseline, confirm findings rather than trusting automated warnings blindly, and rank verified issues by affected users and impact.",
+        "Fix the highest-impact blocker with the smallest underlying change, then rerun the same accessibility evidence, affected flow, and relevant regressions.",
+        "Keep only verified fixes and repeat until no blocker remains or the loop reaches no progress, unverifiable, blocked, or approval-required state."
+      ],
+      "why": "A fixed scope and repeated evidence prevent accessibility work from becoming an unbounded score chase. Confirming findings and repairing one blocker at a time keeps the work focused on real user impact.",
+      "implementationNote": "Automated tools are inputs, not proof. Do not silence checks, hide warnings, weaken the target, or claim success from a single score; document remaining exceptions and coverage limits explicitly.",
+      "keywords": [
+        "accessibility audit",
+        "accessibility repair",
+        "WCAG workflow",
+        "inclusive design testing",
+        "accessibility regression"
+      ],
+      "related": [
+        {
+          "slug": "ui-ux-score-loop",
+          "title": "The UI/UX Score Loop",
+          "url": "https://signals.forwardfuture.ai/loop-library/loops/ui-ux-score-loop/"
+        },
+        {
+          "slug": "full-product-evaluation-loop",
+          "title": "The full product evaluation loop",
+          "url": "https://signals.forwardfuture.ai/loop-library/loops/full-product-evaluation-loop/"
+        }
+      ]
+    },
+    {
+      "number": "041",
+      "slug": "housekeeper-loop",
+      "title": "The housekeeper loop",
+      "url": "https://signals.forwardfuture.ai/loop-library/loops/housekeeper-loop/",
+      "category": {
+        "slug": "engineering",
+        "label": "Engineering"
+      },
+      "author": "Eric Lott",
+      "published": "2026-06-20",
+      "modified": "2026-06-20",
+      "description": "A conservative cleanup workflow that confirms one low-risk opportunity, makes the smallest coherent change, and retains it only after existing checks pass.",
+      "useWhen": "Use this for conservative codebase hygiene when small accumulations of dead code, stale files, unused dependencies, duplication, broken links, naming drift, or confusing structure are slowing maintenance.",
+      "prompt": "Review [repository] for dead code, stale files, unused dependencies, duplicate logic, broken links, outdated comments, inconsistent naming, and confusing structure. Preserve unrelated and uncertain work. Confirm one low-risk cleanup, make the smallest coherent change, and rerun the existing build, tests, and runtime checks. Keep only verified improvements and repeat until no confirmed low-risk cleanup remains, progress stalls, or approval is required. Return changes, evidence, and deferred candidates.",
+      "verification": {
+        "title": "Only confirmed low-risk cleanup remains, and existing behavior still passes.",
+        "detail": "Every retained change is supported by direct evidence, the relevant project checks pass, unrelated work is untouched, and uncertain candidates are deferred rather than deleted."
+      },
+      "steps": [
+        "Inspect the current repository state and preserve unrelated, uncommitted, active, or uncertain work before collecting cleanup candidates.",
+        "Confirm one low-risk opportunity through references, configuration, tests, or other direct evidence, then make the smallest coherent change.",
+        "Run the existing build, tests, runtime checks, and diff review; keep the cleanup only when behavior remains intact and no unrelated change slipped in.",
+        "Repeat until no confirmed low-risk cleanup remains, progress stalls, verification is unavailable, or the next change requires approval."
+      ],
+      "why": "One confirmed cleanup at a time keeps housekeeping reversible and reviewable. Evidence requirements and explicit protection for uncertain work prevent a tidy-up pass from deleting active or poorly understood code.",
+      "implementationNote": "This is codebase housekeeping, not the published repository cleanup loop for branches, pull requests, commits, and worktrees. Do not remove uncertain source, dependencies, generated assets, configuration, or user work merely because it looks unused.",
+      "keywords": [
+        "codebase housekeeping",
+        "dead code cleanup",
+        "unused dependency review",
+        "repository hygiene",
+        "incremental cleanup"
+      ],
+      "related": [
+        {
+          "slug": "repository-cleanup-loop",
+          "title": "The repository cleanup loop",
+          "url": "https://signals.forwardfuture.ai/loop-library/loops/repository-cleanup-loop/"
+        },
+        {
+          "slug": "overnight-docs-sweep",
+          "title": "The docs sweep",
+          "url": "https://signals.forwardfuture.ai/loop-library/loops/overnight-docs-sweep/"
+        }
+      ]
+    },
+    {
+      "number": "042",
+      "slug": "axelrod-subagent-arena-loop",
+      "title": "The Axelrod subagent arena loop",
+      "url": "https://signals.forwardfuture.ai/loop-library/loops/axelrod-subagent-arena-loop/",
+      "category": {
+        "slug": "evaluation",
+        "label": "Evaluation"
+      },
+      "author": "Kan Yuenyong (@sikkha)",
+      "published": "2026-06-20",
+      "modified": "2026-06-20",
+      "description": "A bounded multi-agent evaluation where reasoning subagents play repeated Prisoner's Dilemma matches against deterministic anchors with verified scoring.",
+      "useWhen": "Use this to study whether live reasoning subagents cooperate, retaliate, forgive, exploit, adapt strategies, and preserve pairwise memory under controlled repeated interaction.",
+      "prompt": "Run a bounded Axelrod-style Iterated Prisoner's Dilemma tournament with two reasoning subagents plus always-defect and always-cooperate anchors: three cycles, six pairings per cycle, and ten rounds per pairing. Hide opponent type and private reasoning, collect simultaneous C/D moves, score deterministically, and persist pairwise histories. Code may validate and score but never choose live-agent moves. Finish only after validating all 18 matches and 180 rounds; return payoff and ecological rankings, reasoning summaries, violations, and the complete record.",
+      "verification": {
+        "title": "All 18 matches and 180 rounds validate against the payoff matrix.",
+        "detail": "Every live move is recorded before scoring, deterministic totals reproduce from the complete history, invalid responses are logged, and partial or invalid tournaments remain explicitly incomplete."
+      },
+      "steps": [
+        "Create deterministic validation, scoring, anchor, scheduling, pair-keyed memory, strategy-brief, and reporting components without giving code control of live-agent moves.",
+        "At each of three cycles, have the two live agents commit to one bounded strategy using only their permitted prior pairwise histories.",
+        "Run six ten-round pairings with simultaneous C or D moves, hidden opponent type and reasoning, deterministic anchors, strict move validation, and complete persistent records.",
+        "Recompute all 18 matches and 180 rounds, then publish separate payoff and ecological rankings, strategy and reasoning summaries, violations, divergences, and the reproducible record."
+      ],
+      "why": "Deterministic anchors expose exploitation and cooperation behavior while live subagents still choose every strategic move. Hidden types, simultaneous moves, pairwise memory, and recomputed scores keep the experiment controlled and auditable.",
+      "implementationNote": "The submitted experiment uses C/C=3/3, C/D=0/5, D/C=5/0, and D/D=1/1; one anchor always defects and one always cooperates. Run offline with local files when following the source, and never fit the result to the expected raw-payoff or cooperative-stability winner.",
+      "keywords": [
+        "Axelrod tournament",
+        "Iterated Prisoner's Dilemma",
+        "multi agent benchmark",
+        "agent cooperation",
+        "reasoning subagent evaluation"
+      ],
+      "related": [
+        {
+          "slug": "boeing-747-benchmark",
+          "title": "The Boeing 747 benchmark",
+          "url": "https://signals.forwardfuture.ai/loop-library/loops/boeing-747-benchmark/"
+        },
+        {
+          "slug": "full-product-evaluation-loop",
+          "title": "The full product evaluation loop",
+          "url": "https://signals.forwardfuture.ai/loop-library/loops/full-product-evaluation-loop/"
+        }
+      ],
+      "sourceUrl": "https://github.com/sikkha/axelrod-loop-engineering"
     }
   ]
 }
diff --git a/site/catalog.md b/site/catalog.md
index 3078114..56196cd 100644
--- a/site/catalog.md
+++ b/site/catalog.md
@@ -1,6 +1,6 @@
 # Published Loop Library catalog
 
-Generated from `scripts/loop-data.mjs` (catalog updated 2026-06-19).
+Generated from `scripts/loop-data.mjs` (catalog updated 2026-06-20).
 Live catalog: https://signals.forwardfuture.ai/loop-library/catalog.md
 Machine-readable catalog: https://signals.forwardfuture.ai/loop-library/catalog.json
 
@@ -286,3 +286,102 @@ URL above.
 - Verify: The issue inventory is closed and a fresh pattern audit is clean. Every reported issue and newly found match has current proof of resolution; blocked, approval-gated, or budget-exhausted items remain explicitly open.
 - Keywords: recent user feedback, project-wide issue audit, failure pattern sweep, regression prevention, AI coding agent
 - Related: [The full product evaluation loop](https://signals.forwardfuture.ai/loop-library/loops/full-product-evaluation-loop/), [The quality streak loop](https://signals.forwardfuture.ai/loop-library/loops/quality-streak-loop/)
+
+## 032 — [The promise-to-proof loop](https://signals.forwardfuture.ai/loop-library/loops/promise-to-proof-loop/)
+
+- Category: Evaluation
+- Use when: Use this when product behavior, marketing, documentation, demos, or AI-generated answers may have drifted apart and trust depends on reconciling the promises with current evidence.
+- Prompt: Audit every public or customer-facing promise in [product]. Classify each claim as proven, partially proven, misleading, unsupported, stale, or missing proof using current product evidence. Rank gaps by trust risk, fix the highest-leverage one, and rerun the affected checks. Repeat until no high-risk unsupported promise remains or progress needs approval. Ask before changing production or publishing customer-facing material. Return the inventory, fixes, evidence, and open decisions.
+- Verify: No high-risk customer promise lacks current proof. Every claim has an evidence-backed status, the highest-risk gaps are resolved or approval-gated, and affected surfaces pass the same checks again.
+- Keywords: product promise audit, customer trust, claim verification, evidence based product review, marketing product alignment
+- Related: [The full product evaluation loop](https://signals.forwardfuture.ai/loop-library/loops/full-product-evaluation-loop/), [The recent-feedback sweep](https://signals.forwardfuture.ai/loop-library/loops/recent-feedback-sweep/)
+
+## 033 — [The propagation compliance loop](https://signals.forwardfuture.ai/loop-library/loops/propagation-compliance-loop/)
+
+- Category: Engineering
+- Use when: Use this after changing a version, count, rule, configuration value, identifier, or other state that is duplicated across code, documentation, memory, or operational files.
+- Prompt: After changing a version, count, rule, or configuration, update every affected file. Search for the old value and related stale references; distinguish real discrepancies from intentional history, examples, migrations, or compatibility rules. Fix every confirmed discrepancy and rerun the same searches until zero stale values remain. If the same discrepancy survives two rounds, stop and report what appears to be regenerating it. Return the changes and verification output.
+- Verify: The affected repository contains zero confirmed stale values. The original and related search terms return only intentional matches, and the final search output records why each remaining match is valid.
+- Keywords: configuration propagation, version update audit, stale value search, repository consistency, grep verification loop
+- Related: [The docs sweep](https://signals.forwardfuture.ai/loop-library/loops/overnight-docs-sweep/), [The recent-feedback sweep](https://signals.forwardfuture.ai/loop-library/loops/recent-feedback-sweep/)
+
+## 034 — [The multi-LLM convergence loop](https://signals.forwardfuture.ai/loop-library/loops/multi-llm-convergence-loop/)
+
+- Category: Evaluation
+- Use when: Use this for a specification, plan, design document, code change, or proposed review when genuine cross-model agreement is more useful than one reviewer's opinion.
+- Prompt: Run multi-LLM convergence on [artifact] with [quality bar] and [pass limit]. Alternate two genuinely different model families sequentially. Verify and apply valid above-bar findings, then give the updated artifact to the other reviewer. Converge only after both independently clear the same unchanged version. Stop at the limit, oscillation, unavailable review, or approval-required work; never call a one-model result consensus. Return the artifact, round log, verdict, and disagreements.
+- Verify: Two model families clear the same unchanged artifact. Consecutive clean passes come from different model families, no edit separates them, and any cap, oscillation, unavailable reviewer, or approval gate is reported as a stall.
+- Keywords: multi LLM review, cross model consensus, artifact convergence, alternating reviewers, independent AI review
+- Related: [The Clodex adversarial-review loop](https://signals.forwardfuture.ai/loop-library/loops/clodex-adversarial-review-loop/), [The devil's-advocate loop](https://signals.forwardfuture.ai/loop-library/loops/devils-advocate-design-loop/)
+
+## 035 — [The Goal Forge loop](https://signals.forwardfuture.ai/loop-library/loops/goal-forge-loop/)
+
+- Category: Engineering
+- Use when: Use this when a coding idea is still too ambiguous for long-running autonomous implementation and needs explicit scope, scoring, working memory, verification, and human controls first.
+- Prompt: Turn [rough coding idea] into a /goal-ready execution contract before implementation. Interview until scope, constraints, risks, edge cases, non-goals, and user-approved measurable done_when criteria are explicit. Write SPEC.md, tighten ambiguities, then compile GOAL.md with a scorecard, fast and final checks, working memory, approval boundaries, and evidence requirements. Stop as not ready if any essential decision or environment requirement remains unresolved. Do not run the goal without approval.
+- Verify: SPEC.md and GOAL.md are measurable, runnable, and user-approved. Every done_when item names observable evidence, the scorecard and feedback checks are executable, the environment is ready, and unresolved decisions stop as not ready.
+- Keywords: Goal Forge, Codex goal planning, SPEC.md, GOAL.md, autonomous coding contract
+- Related: [The Codex completion-contract loop](https://signals.forwardfuture.ai/loop-library/loops/codex-completion-contract-loop/), [The ticket-to-PR-ready loop](https://signals.forwardfuture.ai/loop-library/loops/ticket-to-pr-ready-loop/)
+
+## 036 — [The UI/UX Score Loop](https://signals.forwardfuture.ai/loop-library/loops/ui-ux-score-loop/)
+
+- Category: Design
+- Use when: Use this to improve signup, login, onboarding, checkout, create-edit-delete, sharing, or another named product flow that can be exercised in a real browser and judged with a stable rubric.
+- Prompt: Run UI/UX Score Loop on [flow] at [URL] with [completion criterion]. Use a real browser and fresh state for every breakpoint and mode. Capture and score each meaningful view, improve the lowest safe scores, then rerun the complete flow under the same conditions. Keep only regression-free improvements. Stop when the criterion is met, two full passes stall, access is blocked, or approval is required. Return the dashboard and evidence.
+- Verify: The complete flow improves under the same fresh-state evidence matrix. Every retained change raises the selected target without lowering another important view, and the final dashboard records browser, state, breakpoint, mode, scores, screenshots, and stop reason.
+- Keywords: UI UX score, browser flow audit, responsive design review, fresh browser state, user experience improvement
+- Related: [War Loops: frontend reconstruction](https://signals.forwardfuture.ai/loop-library/loops/war-loops-frontend-designer/), [The full product evaluation loop](https://signals.forwardfuture.ai/loop-library/loops/full-product-evaluation-loop/)
+
+## 037 — [The cold-load trimmer loop](https://signals.forwardfuture.ai/loop-library/loops/cold-load-trimmer-loop/)
+
+- Category: Engineering
+- Use when: Use this when a web application ships too many compressed bytes on first load and the initial screen can be protected by repeatable tests, screenshots, and transfer measurements.
+- Prompt: Reduce first-load transferred bytes without changing the first screen. Before deleting anything, establish passing tests, representative screenshots, and a repeatable byte baseline. Treat analyzer findings as candidates. Make one deferral, lazy-load, compression, or removal change; rebuild and rerun every gate. Keep it only if tests pass, screenshots remain pixel-identical, and transferred bytes decrease; otherwise revert. Repeat until no viable candidate remains or attempts stall. Ask before deployment or uncertain dependency removal. Return measurements, changes, and coverage gaps.
+- Verify: Transferred bytes decrease without a covered behavior or pixel changing. The same production-shaped measurement shows a smaller first load, existing tests pass, every representative screenshot is pixel-identical, and any uncertain dependency removal remains approval-gated.
+- Keywords: first load bytes, bundle size optimization, pixel identical screenshots, lazy loading, web performance loop
+- Related: [The sub-50 ms page-load loop](https://signals.forwardfuture.ai/loop-library/loops/sub-50ms-page-load-loop/), [The pixel-safe CSS trim loop](https://signals.forwardfuture.ai/loop-library/loops/pixel-safe-css-trim-loop/)
+
+## 038 — [The pixel-safe CSS trim loop](https://signals.forwardfuture.ai/loop-library/loops/pixel-safe-css-trim-loop/)
+
+- Category: Design
+- Use when: Use this when a stylesheet that ships to users contains likely dead declarations, redundant rules, or order-dependent overrides and the complete visual surface can be captured repeatably.
+- Prompt: Reduce shipped CSS without changing any covered visual state. Before deleting anything, capture a representative screenshot matrix and record built CSS size; treat coverage findings as candidates. Remove one declaration or rule, rebuild, and rerun the full matrix and project checks. Keep it only if every screenshot is pixel-identical and the built CSS is smaller; otherwise revert. Repeat until no supported candidate remains or attempts plateau. Return the reduction, evidence, and uncovered browser or state risks.
+- Verify: Built CSS shrinks while every covered visual state remains pixel-identical. The complete screenshot matrix and project checks pass after each retained deletion, the shipped artifact is smaller, and uncovered browsers or states remain explicit risks.
+- Keywords: CSS cleanup, pixel safe CSS, visual regression testing, dead CSS removal, stylesheet optimization
+- Related: [The cold-load trimmer loop](https://signals.forwardfuture.ai/loop-library/loops/cold-load-trimmer-loop/), [The UI/UX Score Loop](https://signals.forwardfuture.ai/loop-library/loops/ui-ux-score-loop/)
+
+## 039 — [The easy onboarding loop](https://signals.forwardfuture.ai/loop-library/loops/easy-onboarding-loop/)
+
+- Category: Evaluation
+- Use when: Use this when onboarding may contain unclear instructions, hidden assumptions, agent-hostile interactions, or excessive barriers that only appear from a genuinely new session.
+- Prompt: Start [product] from a clean session and complete the entire onboarding flow using only what a new user or agent can see. Record each confirmed barrier, make the smallest improvement that preserves every onboarding, security, access, and product requirement, then discard the session and rerun from the real entry point. Repeat until one uninterrupted fresh pass succeeds, no safe improvement remains, progress is blocked, or approval is required. Return the path, changes, evidence, and blockers.
+- Verify: One uninterrupted fresh session completes onboarding using only provided guidance. The complete flow succeeds from the real entry point without retained state or undocumented repairs, and every requirement remains intact.
+- Keywords: onboarding improvement, fresh session testing, new user experience, agent friendly onboarding, onboarding friction
+- Related: [The fresh-clone loop](https://signals.forwardfuture.ai/loop-library/loops/fresh-clone-loop/), [The full product evaluation loop](https://signals.forwardfuture.ai/loop-library/loops/full-product-evaluation-loop/)
+
+## 040 — [The accessibility repair loop](https://signals.forwardfuture.ai/loop-library/loops/accessibility-repair-loop/)
+
+- Category: Design
+- Use when: Use this when a defined product surface and accessibility target can be checked repeatedly and the highest-impact barriers should be repaired before lower-impact polish.
+- Prompt: Audit [scope] against [accessibility standard] using the available automated and manual checks. Confirm and rank issues by user impact, fix the highest-impact blocker, then rerun the same checks, affected flow, and relevant regressions. Keep only verified fixes and repeat until no confirmed blocker remains, progress stalls, verification is unavailable, or approval is required. Never silence checks or weaken the target. Return findings, fixes, before-and-after evidence, exceptions, and coverage limits.
+- Verify: No confirmed accessibility blocker remains in the agreed scope. The same automated and manual evidence, affected user flow, and relevant regression checks pass after each retained fix without weakening the target.
+- Keywords: accessibility audit, accessibility repair, WCAG workflow, inclusive design testing, accessibility regression
+- Related: [The UI/UX Score Loop](https://signals.forwardfuture.ai/loop-library/loops/ui-ux-score-loop/), [The full product evaluation loop](https://signals.forwardfuture.ai/loop-library/loops/full-product-evaluation-loop/)
+
+## 041 — [The housekeeper loop](https://signals.forwardfuture.ai/loop-library/loops/housekeeper-loop/)
+
+- Category: Engineering
+- Use when: Use this for conservative codebase hygiene when small accumulations of dead code, stale files, unused dependencies, duplication, broken links, naming drift, or confusing structure are slowing maintenance.
+- Prompt: Review [repository] for dead code, stale files, unused dependencies, duplicate logic, broken links, outdated comments, inconsistent naming, and confusing structure. Preserve unrelated and uncertain work. Confirm one low-risk cleanup, make the smallest coherent change, and rerun the existing build, tests, and runtime checks. Keep only verified improvements and repeat until no confirmed low-risk cleanup remains, progress stalls, or approval is required. Return changes, evidence, and deferred candidates.
+- Verify: Only confirmed low-risk cleanup remains, and existing behavior still passes. Every retained change is supported by direct evidence, the relevant project checks pass, unrelated work is untouched, and uncertain candidates are deferred rather than deleted.
+- Keywords: codebase housekeeping, dead code cleanup, unused dependency review, repository hygiene, incremental cleanup
+- Related: [The repository cleanup loop](https://signals.forwardfuture.ai/loop-library/loops/repository-cleanup-loop/), [The docs sweep](https://signals.forwardfuture.ai/loop-library/loops/overnight-docs-sweep/)
+
+## 042 — [The Axelrod subagent arena loop](https://signals.forwardfuture.ai/loop-library/loops/axelrod-subagent-arena-loop/)
+
+- Category: Evaluation
+- Use when: Use this to study whether live reasoning subagents cooperate, retaliate, forgive, exploit, adapt strategies, and preserve pairwise memory under controlled repeated interaction.
+- Prompt: Run a bounded Axelrod-style Iterated Prisoner's Dilemma tournament with two reasoning subagents plus always-defect and always-cooperate anchors: three cycles, six pairings per cycle, and ten rounds per pairing. Hide opponent type and private reasoning, collect simultaneous C/D moves, score deterministically, and persist pairwise histories. Code may validate and score but never choose live-agent moves. Finish only after validating all 18 matches and 180 rounds; return payoff and ecological rankings, reasoning summaries, violations, and the complete record.
+- Verify: All 18 matches and 180 rounds validate against the payoff matrix. Every live move is recorded before scoring, deterministic totals reproduce from the complete history, invalid responses are logged, and partial or invalid tournaments remain explicitly incomplete.
+- Keywords: Axelrod tournament, Iterated Prisoner's Dilemma, multi agent benchmark, agent cooperation, reasoning subagent evaluation
+- Related: [The Boeing 747 benchmark](https://signals.forwardfuture.ai/loop-library/loops/boeing-747-benchmark/), [The full product evaluation loop](https://signals.forwardfuture.ai/loop-library/loops/full-product-evaluation-loop/)
diff --git a/site/feed.xml b/site/feed.xml
index ef05b1b..b7be129 100644
--- a/site/feed.xml
+++ b/site/feed.xml
@@ -5,7 +5,7 @@
   <id>https://signals.forwardfuture.ai/loop-library/</id>
   <link href="https://signals.forwardfuture.ai/loop-library/" />
   <link href="https://signals.forwardfuture.ai/loop-library/feed.xml" rel="self" type="application/atom+xml" />
-  <updated>2026-06-19T00:00:00-07:00</updated>
+  <updated>2026-06-20T00:00:00-07:00</updated>
   <author>
     <name>Forward Future</name>
     <uri>https://forwardfuture.ai/</uri>
@@ -351,4 +351,125 @@
     </author>
     <summary>A project audit that turns recent user-reported problems into reusable failure patterns, fixes every confirmed match, and verifies a clean final sweep.</summary>
   </entry>
+  <entry>
+    <title>The promise-to-proof loop</title>
+    <id>https://signals.forwardfuture.ai/loop-library/loops/promise-to-proof-loop/</id>
+    <link href="https://signals.forwardfuture.ai/loop-library/loops/promise-to-proof-loop/" />
+    <published>2026-06-20T00:00:00-07:00</published>
+    <updated>2026-06-20T00:00:00-07:00</updated>
+    <author>
+      <name>Felix Haeberle (@felixhaberle)</name>
+    </author>
+    <summary>An evidence-based product trust workflow that audits public claims, fixes the highest-risk proof gap, and repeats until unsupported promises are resolved.</summary>
+  </entry>
+  <entry>
+    <title>The propagation compliance loop</title>
+    <id>https://signals.forwardfuture.ai/loop-library/loops/propagation-compliance-loop/</id>
+    <link href="https://signals.forwardfuture.ai/loop-library/loops/propagation-compliance-loop/" />
+    <published>2026-06-20T00:00:00-07:00</published>
+    <updated>2026-06-20T00:00:00-07:00</updated>
+    <author>
+      <name>@iamTristan</name>
+    </author>
+    <summary>A repository consistency workflow that cascades state changes, searches for stale references, and proves that every confirmed discrepancy is resolved.</summary>
+  </entry>
+  <entry>
+    <title>The multi-LLM convergence loop</title>
+    <id>https://signals.forwardfuture.ai/loop-library/loops/multi-llm-convergence-loop/</id>
+    <link href="https://signals.forwardfuture.ai/loop-library/loops/multi-llm-convergence-loop/" />
+    <published>2026-06-20T00:00:00-07:00</published>
+    <updated>2026-06-20T00:00:00-07:00</updated>
+    <author>
+      <name>Donn Felker (@donnfelker)</name>
+    </author>
+    <summary>A cross-model review workflow that alternates two different model families, applies verified findings, and stops only on shared clearance or an honest stall.</summary>
+  </entry>
+  <entry>
+    <title>The Goal Forge loop</title>
+    <id>https://signals.forwardfuture.ai/loop-library/loops/goal-forge-loop/</id>
+    <link href="https://signals.forwardfuture.ai/loop-library/loops/goal-forge-loop/" />
+    <published>2026-06-20T00:00:00-07:00</published>
+    <updated>2026-06-20T00:00:00-07:00</updated>
+    <author>
+      <name>michael Guo (@michaelzsguo)</name>
+    </author>
+    <summary>A specification workflow that interviews, tightens, and compiles a rough coding idea into a measurable SPEC.md and Codex GOAL.md contract.</summary>
+  </entry>
+  <entry>
+    <title>The UI/UX Score Loop</title>
+    <id>https://signals.forwardfuture.ai/loop-library/loops/ui-ux-score-loop/</id>
+    <link href="https://signals.forwardfuture.ai/loop-library/loops/ui-ux-score-loop/" />
+    <published>2026-06-20T00:00:00-07:00</published>
+    <updated>2026-06-20T00:00:00-07:00</updated>
+    <author>
+      <name>Hayden Cassar (@hcassar93)</name>
+    </author>
+    <summary>A browser-based UI and UX improvement workflow that captures complete flows, scores meaningful states, and keeps only regression-free gains.</summary>
+  </entry>
+  <entry>
+    <title>The cold-load trimmer loop</title>
+    <id>https://signals.forwardfuture.ai/loop-library/loops/cold-load-trimmer-loop/</id>
+    <link href="https://signals.forwardfuture.ai/loop-library/loops/cold-load-trimmer-loop/" />
+    <published>2026-06-20T00:00:00-07:00</published>
+    <updated>2026-06-20T00:00:00-07:00</updated>
+    <author>
+      <name>Christian Katzmann</name>
+    </author>
+    <summary>A first-load optimization workflow that establishes tests, visual baselines, and transferred-byte measurements before keeping one safe reduction at a time.</summary>
+  </entry>
+  <entry>
+    <title>The pixel-safe CSS trim loop</title>
+    <id>https://signals.forwardfuture.ai/loop-library/loops/pixel-safe-css-trim-loop/</id>
+    <link href="https://signals.forwardfuture.ai/loop-library/loops/pixel-safe-css-trim-loop/" />
+    <published>2026-06-20T00:00:00-07:00</published>
+    <updated>2026-06-20T00:00:00-07:00</updated>
+    <author>
+      <name>Christian Katzmann</name>
+    </author>
+    <summary>A CSS cleanup workflow that captures the full visual-state matrix before deletion and keeps only changes that shrink built CSS with pixel-identical output.</summary>
+  </entry>
+  <entry>
+    <title>The easy onboarding loop</title>
+    <id>https://signals.forwardfuture.ai/loop-library/loops/easy-onboarding-loop/</id>
+    <link href="https://signals.forwardfuture.ai/loop-library/loops/easy-onboarding-loop/" />
+    <published>2026-06-20T00:00:00-07:00</published>
+    <updated>2026-06-20T00:00:00-07:00</updated>
+    <author>
+      <name>Eric Lott</name>
+    </author>
+    <summary>An onboarding workflow that starts from clean state, fixes one confirmed barrier, and reruns the complete experience while preserving every real requirement.</summary>
+  </entry>
+  <entry>
+    <title>The accessibility repair loop</title>
+    <id>https://signals.forwardfuture.ai/loop-library/loops/accessibility-repair-loop/</id>
+    <link href="https://signals.forwardfuture.ai/loop-library/loops/accessibility-repair-loop/" />
+    <published>2026-06-20T00:00:00-07:00</published>
+    <updated>2026-06-20T00:00:00-07:00</updated>
+    <author>
+      <name>Eric Lott</name>
+    </author>
+    <summary>An accessibility workflow that confirms issues against an agreed target, fixes one high-impact blocker, and reruns the same checks and user flow.</summary>
+  </entry>
+  <entry>
+    <title>The housekeeper loop</title>
+    <id>https://signals.forwardfuture.ai/loop-library/loops/housekeeper-loop/</id>
+    <link href="https://signals.forwardfuture.ai/loop-library/loops/housekeeper-loop/" />
+    <published>2026-06-20T00:00:00-07:00</published>
+    <updated>2026-06-20T00:00:00-07:00</updated>
+    <author>
+      <name>Eric Lott</name>
+    </author>
+    <summary>A conservative cleanup workflow that confirms one low-risk opportunity, makes the smallest coherent change, and retains it only after existing checks pass.</summary>
+  </entry>
+  <entry>
+    <title>The Axelrod subagent arena loop</title>
+    <id>https://signals.forwardfuture.ai/loop-library/loops/axelrod-subagent-arena-loop/</id>
+    <link href="https://signals.forwardfuture.ai/loop-library/loops/axelrod-subagent-arena-loop/" />
+    <published>2026-06-20T00:00:00-07:00</published>
+    <updated>2026-06-20T00:00:00-07:00</updated>
+    <author>
+      <name>Kan Yuenyong (@sikkha)</name>
+    </author>
+    <summary>A bounded multi-agent evaluation where reasoning subagents play repeated Prisoner&#39;s Dilemma matches against deterministic anchors with verified scoring.</summary>
+  </entry>
 </feed>
diff --git a/site/index.html b/site/index.html
index 5c0d4f4..91d4842 100644
--- a/site/index.html
+++ b/site/index.html
@@ -58,11 +58,11 @@
     />
     <meta
       property="og:image"
-      content="https://signals.forwardfuture.ai/loop-library/assets/social/loop-library-20260619-8.png"
+      content="https://signals.forwardfuture.ai/loop-library/assets/social/loop-library-20260620-2.png"
     />
     <meta
       property="og:image:secure_url"
-      content="https://signals.forwardfuture.ai/loop-library/assets/social/loop-library-20260619-8.png"
+      content="https://signals.forwardfuture.ai/loop-library/assets/social/loop-library-20260620-2.png"
     />
     <meta property="og:image:type" content="image/png" />
     <meta
@@ -82,7 +82,7 @@
     />
     <meta
       name="twitter:image"
-      content="https://signals.forwardfuture.ai/loop-library/assets/social/loop-library-20260619-8.png"
+      content="https://signals.forwardfuture.ai/loop-library/assets/social/loop-library-20260620-2.png"
     />
     <meta
       name="twitter:image:alt"
@@ -149,10 +149,10 @@
             "url": "https://signals.forwardfuture.ai/loop-library/",
             "name": "Loop Library",
             "description": "A practical library of repeatable AI agent workflows with clear checks and stopping conditions.",
-            "dateModified": "2026-06-19",
+            "dateModified": "2026-06-20",
             "primaryImageOfPage": {
               "@type": "ImageObject",
-              "url": "https://signals.forwardfuture.ai/loop-library/assets/social/loop-library-20260619-8.png",
+              "url": "https://signals.forwardfuture.ai/loop-library/assets/social/loop-library-20260620-2.png",
               "width": 1200,
               "height": 630
             },
@@ -164,7 +164,7 @@
             },
             "mainEntity": {
               "@type": "ItemList",
-              "numberOfItems": 31,
+              "numberOfItems": 42,
               "itemListElement": [
                 {
                   "@type": "ListItem",
@@ -351,6 +351,72 @@
                   "position": 31,
                   "name": "The recent-feedback sweep",
                   "url": "https://signals.forwardfuture.ai/loop-library/loops/recent-feedback-sweep/"
+                },
+                {
+                  "@type": "ListItem",
+                  "position": 32,
+                  "name": "The promise-to-proof loop",
+                  "url": "https://signals.forwardfuture.ai/loop-library/loops/promise-to-proof-loop/"
+                },
+                {
+                  "@type": "ListItem",
+                  "position": 33,
+                  "name": "The propagation compliance loop",
+                  "url": "https://signals.forwardfuture.ai/loop-library/loops/propagation-compliance-loop/"
+                },
+                {
+                  "@type": "ListItem",
+                  "position": 34,
+                  "name": "The multi-LLM convergence loop",
+                  "url": "https://signals.forwardfuture.ai/loop-library/loops/multi-llm-convergence-loop/"
+                },
+                {
+                  "@type": "ListItem",
+                  "position": 35,
+                  "name": "The Goal Forge loop",
+                  "url": "https://signals.forwardfuture.ai/loop-library/loops/goal-forge-loop/"
+                },
+                {
+                  "@type": "ListItem",
+                  "position": 36,
+                  "name": "The UI/UX Score Loop",
+                  "url": "https://signals.forwardfuture.ai/loop-library/loops/ui-ux-score-loop/"
+                },
+                {
+                  "@type": "ListItem",
+                  "position": 37,
+                  "name": "The cold-load trimmer loop",
+                  "url": "https://signals.forwardfuture.ai/loop-library/loops/cold-load-trimmer-loop/"
+                },
+                {
+                  "@type": "ListItem",
+                  "position": 38,
+                  "name": "The pixel-safe CSS trim loop",
+                  "url": "https://signals.forwardfuture.ai/loop-library/loops/pixel-safe-css-trim-loop/"
+                },
+                {
+                  "@type": "ListItem",
+                  "position": 39,
+                  "name": "The easy onboarding loop",
+                  "url": "https://signals.forwardfuture.ai/loop-library/loops/easy-onboarding-loop/"
+                },
+                {
+                  "@type": "ListItem",
+                  "position": 40,
+                  "name": "The accessibility repair loop",
+                  "url": "https://signals.forwardfuture.ai/loop-library/loops/accessibility-repair-loop/"
+                },
+                {
+                  "@type": "ListItem",
+                  "position": 41,
+                  "name": "The housekeeper loop",
+                  "url": "https://signals.forwardfuture.ai/loop-library/loops/housekeeper-loop/"
+                },
+                {
+                  "@type": "ListItem",
+                  "position": 42,
+                  "name": "The Axelrod subagent arena loop",
+                  "url": "https://signals.forwardfuture.ai/loop-library/loops/axelrod-subagent-arena-loop/"
                 }
               ]
             }
@@ -531,8 +597,8 @@ <h1>Loop Library</h1>
         </div>
 
         <div class="results-line">
-          <p id="results-count" aria-live="polite">Showing 31 loops</p>
-          <time datetime="2026-06-19">Updated June 19, 2026</time>
+          <p id="results-count" aria-live="polite">Showing 42 loops</p>
+          <time datetime="2026-06-20">Updated June 20, 2026</time>
         </div>
 
         <div class="table-wrap">
@@ -1599,6 +1665,404 @@ <h3>
                 </td>
               </tr>
 
+              <tr
+                class="loop-row"
+                data-copy-root
+                data-category="evaluation"
+                data-search="promise proof product claims customer trust evidence audit marketing behavior docs felix haeberle"
+              >
+                <td class="cell-loop">
+                  <div class="loop-meta">
+                    <span class="loop-category">Evaluation</span>
+                    <span class="loop-attribution">By Felix Haeberle (@felixhaberle)</span>
+                  </div>
+                  <h3>
+                    <a class="loop-title-link" href="./loops/promise-to-proof-loop/">
+                      The promise-to-proof loop
+                    </a>
+                  </h3>
+                  <p class="loop-summary">Audits customer-facing promises and closes the highest-risk gaps with current evidence.</p>
+                  <p data-prompt>
+                    Audit every public or customer-facing promise in [product].
+                    Classify each claim as proven, partially proven, misleading,
+                    unsupported, stale, or missing proof using current product
+                    evidence. Rank gaps by trust risk, fix the highest-leverage
+                    one, and rerun the affected checks. Repeat until no high-risk
+                    unsupported promise remains or progress needs approval. Ask
+                    before changing production or publishing customer-facing
+                    material. Return the inventory, fixes, evidence, and open
+                    decisions.
+                  </p>
+                </td>
+                <td class="cell-action">
+                  <button class="copy-button" type="button">
+                    <span>Copy loop</span>
+                  </button>
+                </td>
+              </tr>
+
+              <tr
+                class="loop-row"
+                data-copy-root
+                data-category="engineering"
+                data-search="propagation compliance versions counts rules configuration stale values grep verify iamtristan"
+              >
+                <td class="cell-loop">
+                  <div class="loop-meta">
+                    <span class="loop-category">Engineering</span>
+                    <span class="loop-attribution">By @iamTristan</span>
+                  </div>
+                  <h3>
+                    <a class="loop-title-link" href="./loops/propagation-compliance-loop/">
+                      The propagation compliance loop
+                    </a>
+                  </h3>
+                  <p class="loop-summary">Finds and fixes stale references after versions, rules, counts, or configurations change.</p>
+                  <p data-prompt>
+                    After changing a version, count, rule, or configuration,
+                    update every affected file. Search for the old value and
+                    related stale references; distinguish real discrepancies
+                    from intentional history, examples, migrations, or
+                    compatibility rules. Fix every confirmed discrepancy and
+                    rerun the same searches until zero stale values remain. If
+                    the same discrepancy survives two rounds, stop and report
+                    what appears to be regenerating it. Return the changes and
+                    verification output.
+                  </p>
+                </td>
+                <td class="cell-action">
+                  <button class="copy-button" type="button">
+                    <span>Copy loop</span>
+                  </button>
+                </td>
+              </tr>
+
+              <tr
+                class="loop-row"
+                data-copy-root
+                data-category="evaluation"
+                data-search="multi llm convergence cross model consensus review artifact alternating reviewers donn felker"
+              >
+                <td class="cell-loop">
+                  <div class="loop-meta">
+                    <span class="loop-category">Evaluation</span>
+                    <span class="loop-attribution">By Donn Felker (@donnfelker)</span>
+                  </div>
+                  <h3>
+                    <a class="loop-title-link" href="./loops/multi-llm-convergence-loop/">
+                      The multi-LLM convergence loop
+                    </a>
+                  </h3>
+                  <p class="loop-summary">Alternates independent model families until both clear the same unchanged artifact.</p>
+                  <p data-prompt>
+                    Run multi-LLM convergence on [artifact] with [quality bar]
+                    and [pass limit]. Alternate two genuinely different model
+                    families sequentially. Verify and apply valid above-bar
+                    findings, then give the updated artifact to the other
+                    reviewer. Converge only after both independently clear the
+                    same unchanged version. Stop at the limit, oscillation,
+                    unavailable review, or approval-required work; never call a
+                    one-model result consensus. Return the artifact, round log,
+                    verdict, and disagreements.
+                  </p>
+                </td>
+                <td class="cell-action">
+                  <button class="copy-button" type="button">
+                    <span>Copy loop</span>
+                  </button>
+                </td>
+              </tr>
+
+              <tr
+                class="loop-row"
+                data-copy-root
+                data-category="engineering"
+                data-search="goal forge spec goal codex done when scorecard working memory michael guo"
+              >
+                <td class="cell-loop">
+                  <div class="loop-meta">
+                    <span class="loop-category">Engineering</span>
+                    <span class="loop-attribution">By michael Guo (@michaelzsguo)</span>
+                  </div>
+                  <h3>
+                    <a class="loop-title-link" href="./loops/goal-forge-loop/">
+                      The Goal Forge loop
+                    </a>
+                  </h3>
+                  <p class="loop-summary">Turns rough coding ideas into measurable, evidence-ready Codex execution contracts.</p>
+                  <p data-prompt>
+                    Turn [rough coding idea] into a /goal-ready execution
+                    contract before implementation. Interview until scope,
+                    constraints, risks, edge cases, non-goals, and user-approved
+                    measurable done_when criteria are explicit. Write SPEC.md,
+                    tighten ambiguities, then compile GOAL.md with a scorecard,
+                    fast and final checks, working memory, approval boundaries,
+                    and evidence requirements. Stop as not ready if any
+                    essential decision or environment requirement remains
+                    unresolved. Do not run the goal without approval.
+                  </p>
+                </td>
+                <td class="cell-action">
+                  <button class="copy-button" type="button">
+                    <span>Copy loop</span>
+                  </button>
+                </td>
+              </tr>
+
+              <tr
+                class="loop-row"
+                data-copy-root
+                data-category="design"
+                data-search="ui ux score browser flow responsive fresh state screenshots dashboard hayden cassar"
+              >
+                <td class="cell-loop">
+                  <div class="loop-meta">
+                    <span class="loop-category">Design</span>
+                    <span class="loop-attribution">By Hayden Cassar (@hcassar93)</span>
+                  </div>
+                  <h3>
+                    <a class="loop-title-link" href="./loops/ui-ux-score-loop/">
+                      The UI/UX Score Loop
+                    </a>
+                  </h3>
+                  <p class="loop-summary">Improves complete user flows through fresh browser evidence and repeatable scoring.</p>
+                  <p data-prompt>
+                    Run UI/UX Score Loop on [flow] at [URL] with [completion
+                    criterion]. Use a real browser and fresh state for every
+                    breakpoint and mode. Capture and score each meaningful view,
+                    improve the lowest safe scores, then rerun the complete flow
+                    under the same conditions. Keep only regression-free
+                    improvements. Stop when the criterion is met, two full passes
+                    stall, access is blocked, or approval is required. Return the
+                    dashboard and evidence.
+                  </p>
+                </td>
+                <td class="cell-action">
+                  <button class="copy-button" type="button">
+                    <span>Copy loop</span>
+                  </button>
+                </td>
+              </tr>
+
+              <tr
+                class="loop-row"
+                data-copy-root
+                data-category="engineering"
+                data-search="cold load first bytes bundle transferred screenshots pixel identical performance christian katzmann"
+              >
+                <td class="cell-loop">
+                  <div class="loop-meta">
+                    <span class="loop-category">Engineering</span>
+                    <span class="loop-attribution">By Christian Katzmann</span>
+                  </div>
+                  <h3>
+                    <a class="loop-title-link" href="./loops/cold-load-trimmer-loop/">
+                      The cold-load trimmer loop
+                    </a>
+                  </h3>
+                  <p class="loop-summary">Cuts first-load bytes while preserving tests and pixel-identical initial screens.</p>
+                  <p data-prompt>
+                    Reduce first-load transferred bytes without changing the
+                    first screen. Before deleting anything, establish passing
+                    tests, representative screenshots, and a repeatable byte
+                    baseline. Treat analyzer findings as candidates. Make one
+                    deferral, lazy-load, compression, or removal change; rebuild
+                    and rerun every gate. Keep it only if tests pass, screenshots
+                    remain pixel-identical, and transferred bytes decrease;
+                    otherwise revert. Repeat until no viable candidate remains
+                    or attempts stall. Ask before deployment or uncertain
+                    dependency removal. Return measurements, changes, and
+                    coverage gaps.
+                  </p>
+                </td>
+                <td class="cell-action">
+                  <button class="copy-button" type="button">
+                    <span>Copy loop</span>
+                  </button>
+                </td>
+              </tr>
+
+              <tr
+                class="loop-row"
+                data-copy-root
+                data-category="design"
+                data-search="pixel safe css trim stylesheet visual regression screenshots coverage christian katzmann"
+              >
+                <td class="cell-loop">
+                  <div class="loop-meta">
+                    <span class="loop-category">Design</span>
+                    <span class="loop-attribution">By Christian Katzmann</span>
+                  </div>
+                  <h3>
+                    <a class="loop-title-link" href="./loops/pixel-safe-css-trim-loop/">
+                      The pixel-safe CSS trim loop
+                    </a>
+                  </h3>
+                  <p class="loop-summary">Removes shipped CSS one verified unit at a time without visual drift.</p>
+                  <p data-prompt>
+                    Reduce shipped CSS without changing any covered visual state.
+                    Before deleting anything, capture a representative screenshot
+                    matrix and record built CSS size; treat coverage findings as
+                    candidates. Remove one declaration or rule, rebuild, and
+                    rerun the full matrix and project checks. Keep it only if
+                    every screenshot is pixel-identical and the built CSS is
+                    smaller; otherwise revert. Repeat until no supported
+                    candidate remains or attempts plateau. Return the reduction,
+                    evidence, and uncovered browser or state risks.
+                  </p>
+                </td>
+                <td class="cell-action">
+                  <button class="copy-button" type="button">
+                    <span>Copy loop</span>
+                  </button>
+                </td>
+              </tr>
+
+              <tr
+                class="loop-row"
+                data-copy-root
+                data-category="evaluation"
+                data-search="easy onboarding new user agent clean session fresh state friction eric lott"
+              >
+                <td class="cell-loop">
+                  <div class="loop-meta">
+                    <span class="loop-category">Evaluation</span>
+                    <span class="loop-attribution">By Eric Lott</span>
+                  </div>
+                  <h3>
+                    <a class="loop-title-link" href="./loops/easy-onboarding-loop/">
+                      The easy onboarding loop
+                    </a>
+                  </h3>
+                  <p class="loop-summary">Removes verified onboarding friction through repeated fresh-state end-to-end passes.</p>
+                  <p data-prompt>
+                    Start [product] from a clean session and complete the entire
+                    onboarding flow using only what a new user or agent can see.
+                    Record each confirmed barrier, make the smallest improvement
+                    that preserves every onboarding, security, access, and
+                    product requirement, then discard the session and rerun from
+                    the real entry point. Repeat until one uninterrupted fresh
+                    pass succeeds, no safe improvement remains, progress is
+                    blocked, or approval is required. Return the path, changes,
+                    evidence, and blockers.
+                  </p>
+                </td>
+                <td class="cell-action">
+                  <button class="copy-button" type="button">
+                    <span>Copy loop</span>
+                  </button>
+                </td>
+              </tr>
+
+              <tr
+                class="loop-row"
+                data-copy-root
+                data-category="design"
+                data-search="accessibility repair wcag blocker audit regression inclusive design eric lott"
+              >
+                <td class="cell-loop">
+                  <div class="loop-meta">
+                    <span class="loop-category">Design</span>
+                    <span class="loop-attribution">By Eric Lott</span>
+                  </div>
+                  <h3>
+                    <a class="loop-title-link" href="./loops/accessibility-repair-loop/">
+                      The accessibility repair loop
+                    </a>
+                  </h3>
+                  <p class="loop-summary">Fixes the highest-impact confirmed accessibility blocker and reruns the same evidence.</p>
+                  <p data-prompt>
+                    Audit [scope] against [accessibility standard] using the
+                    available automated and manual checks. Confirm and rank
+                    issues by user impact, fix the highest-impact blocker, then
+                    rerun the same checks, affected flow, and relevant
+                    regressions. Keep only verified fixes and repeat until no
+                    confirmed blocker remains, progress stalls, verification is
+                    unavailable, or approval is required. Never silence checks or
+                    weaken the target. Return findings, fixes, before-and-after
+                    evidence, exceptions, and coverage limits.
+                  </p>
+                </td>
+                <td class="cell-action">
+                  <button class="copy-button" type="button">
+                    <span>Copy loop</span>
+                  </button>
+                </td>
+              </tr>
+
+              <tr
+                class="loop-row"
+                data-copy-root
+                data-category="engineering"
+                data-search="housekeeper dead code stale files unused dependencies duplicate logic broken links repository cleanup eric lott"
+              >
+                <td class="cell-loop">
+                  <div class="loop-meta">
+                    <span class="loop-category">Engineering</span>
+                    <span class="loop-attribution">By Eric Lott</span>
+                  </div>
+                  <h3>
+                    <a class="loop-title-link" href="./loops/housekeeper-loop/">
+                      The housekeeper loop
+                    </a>
+                  </h3>
+                  <p class="loop-summary">Makes small, verified repository cleanups while preserving uncertain and unrelated work.</p>
+                  <p data-prompt>
+                    Review [repository] for dead code, stale files, unused
+                    dependencies, duplicate logic, broken links, outdated
+                    comments, inconsistent naming, and confusing structure.
+                    Preserve unrelated and uncertain work. Confirm one low-risk
+                    cleanup, make the smallest coherent change, and rerun the
+                    existing build, tests, and runtime checks. Keep only verified
+                    improvements and repeat until no confirmed low-risk cleanup
+                    remains, progress stalls, or approval is required. Return
+                    changes, evidence, and deferred candidates.
+                  </p>
+                </td>
+                <td class="cell-action">
+                  <button class="copy-button" type="button">
+                    <span>Copy loop</span>
+                  </button>
+                </td>
+              </tr>
+
+              <tr
+                class="loop-row"
+                data-copy-root
+                data-category="evaluation"
+                data-search="axelrod iterated prisoners dilemma subagent arena tournament cooperation reasoning agents benchmark kan yuenyong sikkha"
+              >
+                <td class="cell-loop">
+                  <div class="loop-meta">
+                    <span class="loop-category">Evaluation</span>
+                    <span class="loop-attribution">By Kan Yuenyong (@sikkha)</span>
+                  </div>
+                  <h3>
+                    <a class="loop-title-link" href="./loops/axelrod-subagent-arena-loop/">
+                      The Axelrod subagent arena loop
+                    </a>
+                  </h3>
+                  <p class="loop-summary">Benchmarks reasoning agents through a bounded, deterministic Prisoner&#39;s Dilemma tournament.</p>
+                  <p data-prompt>
+                    Run a bounded Axelrod-style Iterated Prisoner's Dilemma
+                    tournament with two reasoning subagents plus always-defect
+                    and always-cooperate anchors: three cycles, six pairings per
+                    cycle, and ten rounds per pairing. Hide opponent type and
+                    private reasoning, collect simultaneous C/D moves, score
+                    deterministically, and persist pairwise histories. Code may
+                    validate and score but never choose live-agent moves. Finish
+                    only after validating all 18 matches and 180 rounds; return
+                    payoff and ecological rankings, reasoning summaries,
+                    violations, and the complete record.
+                  </p>
+                </td>
+                <td class="cell-action">
+                  <button class="copy-button" type="button">
+                    <span>Copy loop</span>
+                  </button>
+                </td>
+              </tr>
+
             </tbody>
           </table>
         </div>
diff --git a/site/loops/100-percent-test-coverage-loop/index.html b/site/loops/100-percent-test-coverage-loop/index.html
index a7347ab..4afe0e2 100644
--- a/site/loops/100-percent-test-coverage-loop/index.html
+++ b/site/loops/100-percent-test-coverage-loop/index.html
@@ -38,8 +38,8 @@
     <meta property="og:title" content="100% Test Coverage Loop for Coding Agents | Loop Library" />
     <meta property="og:description" content="A goal-based coding-agent workflow that identifies uncovered behavior, adds meaningful tests, and stops when the full suite passes at 100% coverage." />
     <meta property="og:url" content="https://signals.forwardfuture.ai/loop-library/loops/100-percent-test-coverage-loop/" />
-    <meta property="og:image" content="https://signals.forwardfuture.ai/loop-library/assets/social/100-percent-test-coverage-loop-20260619-8.png" />
-    <meta property="og:image:secure_url" content="https://signals.forwardfuture.ai/loop-library/assets/social/100-percent-test-coverage-loop-20260619-8.png" />
+    <meta property="og:image" content="https://signals.forwardfuture.ai/loop-library/assets/social/100-percent-test-coverage-loop-20260620-2.png" />
+    <meta property="og:image:secure_url" content="https://signals.forwardfuture.ai/loop-library/assets/social/100-percent-test-coverage-loop-20260620-2.png" />
     <meta property="og:image:type" content="image/png" />
     <meta property="og:image:width" content="1200" />
     <meta property="og:image:height" content="630" />
@@ -49,7 +49,7 @@
     <meta name="twitter:card" content="summary_large_image" />
     <meta name="twitter:title" content="100% Test Coverage Loop for Coding Agents | Loop Library" />
     <meta name="twitter:description" content="A goal-based coding-agent workflow that identifies uncovered behavior, adds meaningful tests, and stops when the full suite passes at 100% coverage." />
-    <meta name="twitter:image" content="https://signals.forwardfuture.ai/loop-library/assets/social/100-percent-test-coverage-loop-20260619-8.png" />
+    <meta name="twitter:image" content="https://signals.forwardfuture.ai/loop-library/assets/social/100-percent-test-coverage-loop-20260620-2.png" />
     <meta name="twitter:image:alt" content="The 100% test coverage loop — Forward Future Loop Library" />
     <link rel="canonical" href="https://signals.forwardfuture.ai/loop-library/loops/100-percent-test-coverage-loop/" />
     <link rel="sitemap" type="application/xml" href="https://signals.forwardfuture.ai/loop-library/sitemap.xml" />
@@ -99,7 +99,7 @@
       ],
       "image": {
         "@type": "ImageObject",
-        "url": "https://signals.forwardfuture.ai/loop-library/assets/social/100-percent-test-coverage-loop-20260619-8.png",
+        "url": "https://signals.forwardfuture.ai/loop-library/assets/social/100-percent-test-coverage-loop-20260620-2.png",
         "width": 1200,
         "height": 630
       },
diff --git a/site/loops/accessibility-repair-loop/index.html b/site/loops/accessibility-repair-loop/index.html
new file mode 100644
index 0000000..db75e84
--- /dev/null
+++ b/site/loops/accessibility-repair-loop/index.html
@@ -0,0 +1,342 @@
+<!doctype html>
+<!-- Generated by scripts/build-loop-pages.mjs. -->
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1" />
+    <meta name="description" content="An accessibility workflow that confirms issues against an agreed target, fixes one high-impact blocker, and reruns the same checks and user flow." />
+    <meta name="author" content="Eric Lott" />
+    <meta name="robots" content="index,follow,max-image-preview:large,max-snippet:-1" />
+    <meta name="theme-color" content="#faf8f7" />
+    <meta name="color-scheme" content="light dark" />
+    <script>
+      (() => {
+        const storageKey = "loop-library-theme";
+        let storedTheme;
+
+        try {
+          storedTheme = window.localStorage.getItem(storageKey);
+        } catch {
+          storedTheme = null;
+        }
+
+        const theme =
+          storedTheme === "light" || storedTheme === "dark"
+            ? storedTheme
+            : window.matchMedia("(prefers-color-scheme: dark)").matches
+              ? "dark"
+              : "light";
+
+        document.documentElement.dataset.theme = theme;
+        document
+          .querySelector('meta[name="theme-color"]')
+          .setAttribute("content", theme === "dark" ? "#101010" : "#faf8f7");
+      })();
+    </script>
+    <meta property="og:type" content="article" />
+    <meta property="og:site_name" content="Loop Library" />
+    <meta property="og:title" content="Accessibility Repair Loop | Loop Library" />
+    <meta property="og:description" content="An accessibility workflow that confirms issues against an agreed target, fixes one high-impact blocker, and reruns the same checks and user flow." />
+    <meta property="og:url" content="https://signals.forwardfuture.ai/loop-library/loops/accessibility-repair-loop/" />
+    <meta property="og:image" content="https://signals.forwardfuture.ai/loop-library/assets/social/accessibility-repair-loop-20260620-2.png" />
+    <meta property="og:image:secure_url" content="https://signals.forwardfuture.ai/loop-library/assets/social/accessibility-repair-loop-20260620-2.png" />
+    <meta property="og:image:type" content="image/png" />
+    <meta property="og:image:width" content="1200" />
+    <meta property="og:image:height" content="630" />
+    <meta property="og:image:alt" content="The accessibility repair loop — Forward Future Loop Library" />
+    <meta property="article:published_time" content="2026-06-20" />
+    <meta property="article:modified_time" content="2026-06-20" />
+    <meta name="twitter:card" content="summary_large_image" />
+    <meta name="twitter:title" content="Accessibility Repair Loop | Loop Library" />
+    <meta name="twitter:description" content="An accessibility workflow that confirms issues against an agreed target, fixes one high-impact blocker, and reruns the same checks and user flow." />
+    <meta name="twitter:image" content="https://signals.forwardfuture.ai/loop-library/assets/social/accessibility-repair-loop-20260620-2.png" />
+    <meta name="twitter:image:alt" content="The accessibility repair loop — Forward Future Loop Library" />
+    <link rel="canonical" href="https://signals.forwardfuture.ai/loop-library/loops/accessibility-repair-loop/" />
+    <link rel="sitemap" type="application/xml" href="https://signals.forwardfuture.ai/loop-library/sitemap.xml" />
+    <link rel="alternate" type="application/atom+xml" title="Loop Library updates" href="https://signals.forwardfuture.ai/loop-library/feed.xml" />
+    <link rel="alternate" type="application/json" title="Loop Library catalog" href="https://signals.forwardfuture.ai/loop-library/catalog.json" />
+    <link rel="alternate" type="text/markdown" title="Loop Library catalog in Markdown" href="https://signals.forwardfuture.ai/loop-library/catalog.md" />
+    <link rel="icon" type="image/png" href="../../assets/favicon.png" />
+    <link rel="stylesheet" href="../../styles.css?v=20260620-social-copy" />
+    <script type="application/ld+json">
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+          "name": "Loop Library",
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+          "name": "The accessibility repair loop",
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+        }
+      ]
+    },
+    {
+      "@type": "Article",
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+      "description": "An accessibility workflow that confirms issues against an agreed target, fixes one high-impact blocker, and reruns the same checks and user flow.",
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+      "datePublished": "2026-06-20",
+      "dateModified": "2026-06-20",
+      "articleSection": "AI frontend design workflow",
+      "keywords": [
+        "accessibility audit",
+        "accessibility repair",
+        "WCAG workflow",
+        "inclusive design testing",
+        "accessibility regression"
+      ],
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+    </script>
+    <script src="../../script.js?v=20260620-social-copy" defer></script>
+    <title>Accessibility Repair Loop | Loop Library</title>
+  </head>
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+      <article class="loop-detail">
+        <header class="detail-hero">
+          <p class="eyebrow">Loop 040</p>
+          <h1>The accessibility repair loop</h1>
+          <p class="detail-lede">An accessibility workflow that confirms issues against an agreed target, fixes one high-impact blocker, and reruns the same checks and user flow.</p>
+          <p class="detail-byline">
+            Contributed by <strong>Eric Lott</strong>
+          </p>
+          <div class="share-actions" aria-label="Share this loop">
+            <button
+              class="share-action share-action-primary"
+              type="button"
+              data-copy-social-post
+              data-post-text="Try &quot;The accessibility repair loop&quot; from the Loop Library: Fixes the highest-impact confirmed accessibility blocker and reruns the same evidence."
+              data-post-url="https://signals.forwardfuture.ai/loop-library/loops/accessibility-repair-loop/"
+              aria-label="Copy a social post about The accessibility repair loop"
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+          </div>
+        </header>
+
+        <div class="detail-stack">
+          <section class="detail-prompt-card" data-copy-root aria-labelledby="copy-loop">
+            <div class="detail-prompt-heading">
+              <div>
+                <p class="eyebrow">Ready-to-use prompt</p>
+                <h2 id="copy-loop">Copy the loop</h2>
+              </div>
+              <button class="copy-button" type="button">
+                <span>Copy</span>
+              </button>
+            </div>
+            <p data-prompt>Audit [scope] against [accessibility standard] using the available automated and manual checks. Confirm and rank issues by user impact, fix the highest-impact blocker, then rerun the same checks, affected flow, and relevant regressions. Keep only verified fixes and repeat until no confirmed blocker remains, progress stalls, verification is unavailable, or approval is required. Never silence checks or weaken the target. Return findings, fixes, before-and-after evidence, exceptions, and coverage limits.</p>
+          </section>
+
+          <section class="verification-card" aria-labelledby="verify-stop">
+            <p class="eyebrow">Verify / stop</p>
+            <div>
+              <h2 id="verify-stop">No confirmed accessibility blocker remains in the agreed scope.</h2>
+              <p>The same automated and manual evidence, affected user flow, and relevant regression checks pass after each retained fix without weakening the target.</p>
+            </div>
+          </section>
+
+          <details class="detail-more">
+            <summary>
+              <span>Context and guidance</span>
+              <small>When to use it, steps, safety notes, and related loops</small>
+            </summary>
+
+            <div class="detail-more-body">
+              <dl class="detail-meta">
+                <div>
+                  <dt>Published</dt>
+                  <dd><time datetime="2026-06-20">Jun 20, 2026</time></dd>
+                </div>
+                <div>
+                  <dt>Updated</dt>
+                  <dd><time datetime="2026-06-20">Jun 20, 2026</time></dd>
+                </div>
+              </dl>
+
+              <section aria-labelledby="use-when">
+                <h2 id="use-when">Use this when</h2>
+                <p>Use this when a defined product surface and accessibility target can be checked repeatedly and the highest-impact barriers should be repaired before lower-impact polish.</p>
+              </section>
+
+              <section aria-labelledby="run-loop">
+                <h2 id="run-loop">How to run it</h2>
+                <ol class="detail-steps">
+                <li>Define the pages, flows, or components in scope, the applicable accessibility target, available checks, and representative user flows before editing.</li>
+                <li>Run the baseline, confirm findings rather than trusting automated warnings blindly, and rank verified issues by affected users and impact.</li>
+                <li>Fix the highest-impact blocker with the smallest underlying change, then rerun the same accessibility evidence, affected flow, and relevant regressions.</li>
+                <li>Keep only verified fixes and repeat until no blocker remains or the loop reaches no progress, unverifiable, blocked, or approval-required state.</li>
+                </ol>
+              </section>
+
+              <section aria-labelledby="why-it-works">
+                <h2 id="why-it-works">Why it works</h2>
+                <p>A fixed scope and repeated evidence prevent accessibility work from becoming an unbounded score chase. Confirming findings and repairing one blocker at a time keeps the work focused on real user impact.</p>
+              </section>
+
+              <section class="implementation-note" aria-labelledby="implementation-note">
+                <h2 id="implementation-note">Implementation note</h2>
+                <p>Automated tools are inputs, not proof. Do not silence checks, hide warnings, weaken the target, or claim success from a single score; document remaining exceptions and coverage limits explicitly.</p>
+              </section>
+
+              <nav class="related-loops" aria-labelledby="related-heading">
+                <h2 id="related-heading">Related loops</h2>
+                <div>
+
+                <a class="related-loop-link" href="../ui-ux-score-loop/">
+                  The UI/UX Score Loop
+                </a>
+                <a class="related-loop-link" href="../full-product-evaluation-loop/">
+                  The full product evaluation loop
+                </a>
+                </div>
+              </nav>
+            </div>
+          </details>
+        </div>
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diff --git a/site/loops/architecture-satisfaction-loop/index.html b/site/loops/architecture-satisfaction-loop/index.html
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+    <meta name="description" content="A bounded multi-agent evaluation where reasoning subagents play repeated Prisoner&#39;s Dilemma matches against deterministic anchors with verified scoring." />
+    <meta name="author" content="Kan Yuenyong (@sikkha)" />
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+        <a href="../../">&larr; All loops</a>
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+      <article class="loop-detail">
+        <header class="detail-hero">
+          <p class="eyebrow">Loop 042</p>
+          <h1>The Axelrod subagent arena loop</h1>
+          <p class="detail-lede">A bounded multi-agent evaluation where reasoning subagents play repeated Prisoner&#39;s Dilemma matches against deterministic anchors with verified scoring.</p>
+          <p class="detail-byline">
+            Contributed by <strong>Kan Yuenyong (@sikkha)</strong> · <a class="detail-source-link" href="https://github.com/sikkha/axelrod-loop-engineering" target="_blank" rel="noopener noreferrer">Source</a>
+          </p>
+          <div class="share-actions" aria-label="Share this loop">
+            <button
+              class="share-action share-action-primary"
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+              data-post-text="Try &quot;The Axelrod subagent arena loop&quot; from the Loop Library: Benchmarks reasoning agents through a bounded, deterministic Prisoner&#39;s Dilemma tournament."
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+        <div class="detail-stack">
+          <section class="detail-prompt-card" data-copy-root aria-labelledby="copy-loop">
+            <div class="detail-prompt-heading">
+              <div>
+                <p class="eyebrow">Ready-to-use prompt</p>
+                <h2 id="copy-loop">Copy the loop</h2>
+              </div>
+              <button class="copy-button" type="button">
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+            <p data-prompt>Run a bounded Axelrod-style Iterated Prisoner&#39;s Dilemma tournament with two reasoning subagents plus always-defect and always-cooperate anchors: three cycles, six pairings per cycle, and ten rounds per pairing. Hide opponent type and private reasoning, collect simultaneous C/D moves, score deterministically, and persist pairwise histories. Code may validate and score but never choose live-agent moves. Finish only after validating all 18 matches and 180 rounds; return payoff and ecological rankings, reasoning summaries, violations, and the complete record.</p>
+          </section>
+
+          <section class="verification-card" aria-labelledby="verify-stop">
+            <p class="eyebrow">Verify / stop</p>
+            <div>
+              <h2 id="verify-stop">All 18 matches and 180 rounds validate against the payoff matrix.</h2>
+              <p>Every live move is recorded before scoring, deterministic totals reproduce from the complete history, invalid responses are logged, and partial or invalid tournaments remain explicitly incomplete.</p>
+            </div>
+          </section>
+
+          <details class="detail-more">
+            <summary>
+              <span>Context and guidance</span>
+              <small>When to use it, steps, safety notes, and related loops</small>
+            </summary>
+
+            <div class="detail-more-body">
+              <dl class="detail-meta">
+                <div>
+                  <dt>Published</dt>
+                  <dd><time datetime="2026-06-20">Jun 20, 2026</time></dd>
+                </div>
+                <div>
+                  <dt>Updated</dt>
+                  <dd><time datetime="2026-06-20">Jun 20, 2026</time></dd>
+                </div>
+              </dl>
+
+              <section aria-labelledby="use-when">
+                <h2 id="use-when">Use this when</h2>
+                <p>Use this to study whether live reasoning subagents cooperate, retaliate, forgive, exploit, adapt strategies, and preserve pairwise memory under controlled repeated interaction.</p>
+              </section>
+
+              <section aria-labelledby="run-loop">
+                <h2 id="run-loop">How to run it</h2>
+                <ol class="detail-steps">
+                <li>Create deterministic validation, scoring, anchor, scheduling, pair-keyed memory, strategy-brief, and reporting components without giving code control of live-agent moves.</li>
+                <li>At each of three cycles, have the two live agents commit to one bounded strategy using only their permitted prior pairwise histories.</li>
+                <li>Run six ten-round pairings with simultaneous C or D moves, hidden opponent type and reasoning, deterministic anchors, strict move validation, and complete persistent records.</li>
+                <li>Recompute all 18 matches and 180 rounds, then publish separate payoff and ecological rankings, strategy and reasoning summaries, violations, divergences, and the reproducible record.</li>
+                </ol>
+              </section>
+
+              <section aria-labelledby="why-it-works">
+                <h2 id="why-it-works">Why it works</h2>
+                <p>Deterministic anchors expose exploitation and cooperation behavior while live subagents still choose every strategic move. Hidden types, simultaneous moves, pairwise memory, and recomputed scores keep the experiment controlled and auditable.</p>
+              </section>
+
+              <section class="implementation-note" aria-labelledby="implementation-note">
+                <h2 id="implementation-note">Implementation note</h2>
+                <p>The submitted experiment uses C/C=3/3, C/D=0/5, D/C=5/0, and D/D=1/1; one anchor always defects and one always cooperates. Run offline with local files when following the source, and never fit the result to the expected raw-payoff or cooperative-stability winner.</p>
+              </section>
+
+              <nav class="related-loops" aria-labelledby="related-heading">
+                <h2 id="related-heading">Related loops</h2>
+                <div>
+
+                <a class="related-loop-link" href="../boeing-747-benchmark/">
+                  The Boeing 747 benchmark
+                </a>
+                <a class="related-loop-link" href="../full-product-evaluation-loop/">
+                  The full product evaluation loop
+                </a>
+                </div>
+              </nav>
+            </div>
+          </details>
+        </div>
+      </article>
+    </main>
+
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+    <meta name="description" content="A first-load optimization workflow that establishes tests, visual baselines, and transferred-byte measurements before keeping one safe reduction at a time." />
+    <meta name="author" content="Christian Katzmann" />
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+    <meta property="og:description" content="A first-load optimization workflow that establishes tests, visual baselines, and transferred-byte measurements before keeping one safe reduction at a time." />
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+      <article class="loop-detail">
+        <header class="detail-hero">
+          <p class="eyebrow">Loop 037</p>
+          <h1>The cold-load trimmer loop</h1>
+          <p class="detail-lede">A first-load optimization workflow that establishes tests, visual baselines, and transferred-byte measurements before keeping one safe reduction at a time.</p>
+          <p class="detail-byline">
+            Contributed by <strong>Christian Katzmann</strong> · <a class="detail-source-link" href="https://github.com/Christian-Katzmann" target="_blank" rel="noopener noreferrer">Source</a>
+          </p>
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+              data-post-text="Try &quot;The cold-load trimmer loop&quot; from the Loop Library: Cuts first-load bytes while preserving tests and pixel-identical initial screens."
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+              <button class="copy-button" type="button">
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+            </div>
+            <p data-prompt>Reduce first-load transferred bytes without changing the first screen. Before deleting anything, establish passing tests, representative screenshots, and a repeatable byte baseline. Treat analyzer findings as candidates. Make one deferral, lazy-load, compression, or removal change; rebuild and rerun every gate. Keep it only if tests pass, screenshots remain pixel-identical, and transferred bytes decrease; otherwise revert. Repeat until no viable candidate remains or attempts stall. Ask before deployment or uncertain dependency removal. Return measurements, changes, and coverage gaps.</p>
+          </section>
+
+          <section class="verification-card" aria-labelledby="verify-stop">
+            <p class="eyebrow">Verify / stop</p>
+            <div>
+              <h2 id="verify-stop">Transferred bytes decrease without a covered behavior or pixel changing.</h2>
+              <p>The same production-shaped measurement shows a smaller first load, existing tests pass, every representative screenshot is pixel-identical, and any uncertain dependency removal remains approval-gated.</p>
+            </div>
+          </section>
+
+          <details class="detail-more">
+            <summary>
+              <span>Context and guidance</span>
+              <small>When to use it, steps, safety notes, and related loops</small>
+            </summary>
+
+            <div class="detail-more-body">
+              <dl class="detail-meta">
+                <div>
+                  <dt>Published</dt>
+                  <dd><time datetime="2026-06-20">Jun 20, 2026</time></dd>
+                </div>
+                <div>
+                  <dt>Updated</dt>
+                  <dd><time datetime="2026-06-20">Jun 20, 2026</time></dd>
+                </div>
+              </dl>
+
+              <section aria-labelledby="use-when">
+                <h2 id="use-when">Use this when</h2>
+                <p>Use this when a web application ships too many compressed bytes on first load and the initial screen can be protected by repeatable tests, screenshots, and transfer measurements.</p>
+              </section>
+
+              <section aria-labelledby="run-loop">
+                <h2 id="run-loop">How to run it</h2>
+                <ol class="detail-steps">
+                <li>Before deleting anything, establish green tests, representative mobile and desktop first-screen screenshots, image hashes, and a repeatable compressed transferred-byte baseline.</li>
+                <li>Run the bundle analyzer and production build report to generate candidates, then choose one safe deferral, lazy-load, compression, inlining, or removal hypothesis.</li>
+                <li>Rebuild and rerun tests, every screenshot hash, and the same byte measurement; keep the change only when all gates pass and bytes decrease, otherwise revert it completely.</li>
+                <li>Repeat until no viable candidate remains, several attempts fail to improve the baseline, measurement is unreliable, or the next change requires approval.</li>
+                </ol>
+              </section>
+
+              <section aria-labelledby="why-it-works">
+                <h2 id="why-it-works">Why it works</h2>
+                <p>Putting the behavioral and visual gate before the first deletion prevents static-analysis false positives from becoming the new baseline. One change per round preserves causality and makes every accepted byte reduction reversible.</p>
+              </section>
+
+              <section class="implementation-note" aria-labelledby="implementation-note">
+                <h2 id="implementation-note">Implementation note</h2>
+                <p>Measure compressed transferred bytes rather than unminified source. The gate covers only the states it captures: add missing logged-out, logged-in, empty, error, or other representative states before trusting a change that could affect them.</p>
+              </section>
+
+              <nav class="related-loops" aria-labelledby="related-heading">
+                <h2 id="related-heading">Related loops</h2>
+                <div>
+
+                <a class="related-loop-link" href="../sub-50ms-page-load-loop/">
+                  The sub-50 ms page-load loop
+                </a>
+                <a class="related-loop-link" href="../pixel-safe-css-trim-loop/">
+                  The pixel-safe CSS trim loop
+                </a>
+                </div>
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+    </header>
+
+    <main class="detail-main page-width" id="main">
+      <nav class="breadcrumbs" aria-label="Breadcrumb">
+        <a href="../../">&larr; All loops</a>
+      </nav>
+
+      <article class="loop-detail">
+        <header class="detail-hero">
+          <p class="eyebrow">Loop 039</p>
+          <h1>The easy onboarding loop</h1>
+          <p class="detail-lede">An onboarding workflow that starts from clean state, fixes one confirmed barrier, and reruns the complete experience while preserving every real requirement.</p>
+          <p class="detail-byline">
+            Contributed by <strong>Eric Lott</strong>
+          </p>
+          <div class="share-actions" aria-label="Share this loop">
+            <button
+              class="share-action share-action-primary"
+              type="button"
+              data-copy-social-post
+              data-post-text="Try &quot;The easy onboarding loop&quot; from the Loop Library: Removes verified onboarding friction through repeated fresh-state end-to-end passes."
+              data-post-url="https://signals.forwardfuture.ai/loop-library/loops/easy-onboarding-loop/"
+              aria-label="Copy a social post about The easy onboarding loop"
+            >
+              <svg class="share-copy-icon" viewBox="0 0 24 24" aria-hidden="true">
+                <rect x="8" y="8" width="11" height="11"></rect>
+                <path d="M16 8V5a1 1 0 0 0-1-1H5a1 1 0 0 0-1 1v10a1 1 0 0 0 1 1h3"></path>
+              </svg>
+              <span>Copy social post</span>
+            </button>
+          </div>
+        </header>
+
+        <div class="detail-stack">
+          <section class="detail-prompt-card" data-copy-root aria-labelledby="copy-loop">
+            <div class="detail-prompt-heading">
+              <div>
+                <p class="eyebrow">Ready-to-use prompt</p>
+                <h2 id="copy-loop">Copy the loop</h2>
+              </div>
+              <button class="copy-button" type="button">
+                <span>Copy</span>
+              </button>
+            </div>
+            <p data-prompt>Start [product] from a clean session and complete the entire onboarding flow using only what a new user or agent can see. Record each confirmed barrier, make the smallest improvement that preserves every onboarding, security, access, and product requirement, then discard the session and rerun from the real entry point. Repeat until one uninterrupted fresh pass succeeds, no safe improvement remains, progress is blocked, or approval is required. Return the path, changes, evidence, and blockers.</p>
+          </section>
+
+          <section class="verification-card" aria-labelledby="verify-stop">
+            <p class="eyebrow">Verify / stop</p>
+            <div>
+              <h2 id="verify-stop">One uninterrupted fresh session completes onboarding using only provided guidance.</h2>
+              <p>The complete flow succeeds from the real entry point without retained state or undocumented repairs, and every requirement remains intact.</p>
+            </div>
+          </section>
+
+          <details class="detail-more">
+            <summary>
+              <span>Context and guidance</span>
+              <small>When to use it, steps, safety notes, and related loops</small>
+            </summary>
+
+            <div class="detail-more-body">
+              <dl class="detail-meta">
+                <div>
+                  <dt>Published</dt>
+                  <dd><time datetime="2026-06-20">Jun 20, 2026</time></dd>
+                </div>
+                <div>
+                  <dt>Updated</dt>
+                  <dd><time datetime="2026-06-20">Jun 20, 2026</time></dd>
+                </div>
+              </dl>
+
+              <section aria-labelledby="use-when">
+                <h2 id="use-when">Use this when</h2>
+                <p>Use this when onboarding may contain unclear instructions, hidden assumptions, agent-hostile interactions, or excessive barriers that only appear from a genuinely new session.</p>
+              </section>
+
+              <section aria-labelledby="run-loop">
+                <h2 id="run-loop">How to run it</h2>
+                <ol class="detail-steps">
+                <li>Create a clean session with no retained authentication, storage, remembered routes, undocumented setup, or repair from an earlier attempt.</li>
+                <li>Complete onboarding from the real entry point and record every confirmed unclear, unexplained, unnecessarily difficult, or unrecoverable step.</li>
+                <li>Fix the highest-impact barrier with the smallest change that preserves onboarding, security, access, and product requirements.</li>
+                <li>Discard the session and rerun the complete flow until one uninterrupted fresh pass succeeds or the loop reaches no progress, blocked, or approval-required state.</li>
+                </ol>
+              </section>
+
+              <section aria-labelledby="why-it-works">
+                <h2 id="why-it-works">Why it works</h2>
+                <p>Fresh-state reruns expose assumptions that experienced users and retained sessions hide. Requiring one uninterrupted pass makes onboarding quality observable while the requirement-preservation rule prevents convenience from weakening real controls.</p>
+              </section>
+
+              <section class="implementation-note" aria-labelledby="implementation-note">
+                <h2 id="implementation-note">Implementation note</h2>
+                <p>Do not infer a deep route from the flow name or reuse a working session after a fix. Start where a real newcomer starts, follow only visible guidance, and record barriers that require a product decision instead of silently removing them.</p>
+              </section>
+
+              <nav class="related-loops" aria-labelledby="related-heading">
+                <h2 id="related-heading">Related loops</h2>
+                <div>
+
+                <a class="related-loop-link" href="../fresh-clone-loop/">
+                  The fresh-clone loop
+                </a>
+                <a class="related-loop-link" href="../full-product-evaluation-loop/">
+                  The full product evaluation loop
+                </a>
+                </div>
+              </nav>
+            </div>
+          </details>
+        </div>
+      </article>
+    </main>
+
+    <footer class="site-footer">
+      <div class="page-width footer-inner">
+        <p><strong>Forward Future</strong> <span>Make the future legible.</span></p>
+        <div class="footer-actions">
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+            <a href="../../">Loop Library</a>
+            <a href="https://forwardfuture.ai/" rel="noopener">forwardfuture.ai</a>
+            <span>&copy; 2026</span>
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diff --git a/site/loops/fresh-clone-loop/index.html b/site/loops/fresh-clone-loop/index.html
index b513594..54cc760 100644
--- a/site/loops/fresh-clone-loop/index.html
+++ b/site/loops/fresh-clone-loop/index.html
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     <meta property="og:url" content="https://signals.forwardfuture.ai/loop-library/loops/fresh-clone-loop/" />
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+    <meta name="description" content="A specification workflow that interviews, tightens, and compiles a rough coding idea into a measurable SPEC.md and Codex GOAL.md contract." />
+    <meta name="author" content="michael Guo (@michaelzsguo)" />
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+    },
+    {
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+        <header class="detail-hero">
+          <p class="eyebrow">Loop 035</p>
+          <h1>The Goal Forge loop</h1>
+          <p class="detail-lede">A specification workflow that interviews, tightens, and compiles a rough coding idea into a measurable SPEC.md and Codex GOAL.md contract.</p>
+          <p class="detail-byline">
+            Contributed by <strong>michael Guo (@michaelzsguo)</strong> · <a class="detail-source-link" href="https://github.com/michaelpersonal/goal-forge" target="_blank" rel="noopener noreferrer">Source</a>
+          </p>
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+              <button class="copy-button" type="button">
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+            </div>
+            <p data-prompt>Turn [rough coding idea] into a /goal-ready execution contract before implementation. Interview until scope, constraints, risks, edge cases, non-goals, and user-approved measurable done_when criteria are explicit. Write SPEC.md, tighten ambiguities, then compile GOAL.md with a scorecard, fast and final checks, working memory, approval boundaries, and evidence requirements. Stop as not ready if any essential decision or environment requirement remains unresolved. Do not run the goal without approval.</p>
+          </section>
+
+          <section class="verification-card" aria-labelledby="verify-stop">
+            <p class="eyebrow">Verify / stop</p>
+            <div>
+              <h2 id="verify-stop">SPEC.md and GOAL.md are measurable, runnable, and user-approved.</h2>
+              <p>Every done_when item names observable evidence, the scorecard and feedback checks are executable, the environment is ready, and unresolved decisions stop as not ready.</p>
+            </div>
+          </section>
+
+          <details class="detail-more">
+            <summary>
+              <span>Context and guidance</span>
+              <small>When to use it, steps, safety notes, and related loops</small>
+            </summary>
+
+            <div class="detail-more-body">
+              <dl class="detail-meta">
+                <div>
+                  <dt>Published</dt>
+                  <dd><time datetime="2026-06-20">Jun 20, 2026</time></dd>
+                </div>
+                <div>
+                  <dt>Updated</dt>
+                  <dd><time datetime="2026-06-20">Jun 20, 2026</time></dd>
+                </div>
+              </dl>
+
+              <section aria-labelledby="use-when">
+                <h2 id="use-when">Use this when</h2>
+                <p>Use this when a coding idea is still too ambiguous for long-running autonomous implementation and needs explicit scope, scoring, working memory, verification, and human controls first.</p>
+              </section>
+
+              <section aria-labelledby="run-loop">
+                <h2 id="run-loop">How to run it</h2>
+                <ol class="detail-steps">
+                <li>Interview the user until intended behavior, non-goals, constraints, edge cases, risks, and user-approved measurable done_when criteria are explicit in SPEC.md.</li>
+                <li>Challenge ambiguities with distinct interpretations and resolve product decisions without silently adding scope.</li>
+                <li>Compile GOAL.md with the objective, scorecard, fast feedback loop, slower final check, working memory, approval boundaries, and evidence contract.</li>
+                <li>Check environment readiness and stop as not ready when any required decision, capability, permission, or verification path is missing; run the goal only after explicit approval.</li>
+                </ol>
+              </section>
+
+              <section aria-labelledby="why-it-works">
+                <h2 id="why-it-works">Why it works</h2>
+                <p>Goal Forge separates product decisions from autonomous execution. A measurable contract, fast feedback, durable working memory, and honest not-ready state reduce the chance that a long run optimizes the wrong objective or mistakes activity for completion.</p>
+              </section>
+
+              <section class="implementation-note" aria-labelledby="implementation-note">
+                <h2 id="implementation-note">Implementation note</h2>
+                <p>The submitted workflow is specifically for Codex /goal work and uses SPEC.md, GOAL.md, PLAN.md, ATTEMPTS.md, and NOTES.md. Keep those names when the environment supports them; otherwise adapt the artifacts without weakening the user-approval and evidence gates.</p>
+              </section>
+
+              <nav class="related-loops" aria-labelledby="related-heading">
+                <h2 id="related-heading">Related loops</h2>
+                <div>
+
+                <a class="related-loop-link" href="../codex-completion-contract-loop/">
+                  The Codex completion-contract loop
+                </a>
+                <a class="related-loop-link" href="../ticket-to-pr-ready-loop/">
+                  The ticket-to-PR-ready loop
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+      "keywords": [
+        "codebase housekeeping",
+        "dead code cleanup",
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+      <article class="loop-detail">
+        <header class="detail-hero">
+          <p class="eyebrow">Loop 041</p>
+          <h1>The housekeeper loop</h1>
+          <p class="detail-lede">A conservative cleanup workflow that confirms one low-risk opportunity, makes the smallest coherent change, and retains it only after existing checks pass.</p>
+          <p class="detail-byline">
+            Contributed by <strong>Eric Lott</strong>
+          </p>
+          <div class="share-actions" aria-label="Share this loop">
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+              class="share-action share-action-primary"
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+        <div class="detail-stack">
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+            <div class="detail-prompt-heading">
+              <div>
+                <p class="eyebrow">Ready-to-use prompt</p>
+                <h2 id="copy-loop">Copy the loop</h2>
+              </div>
+              <button class="copy-button" type="button">
+                <span>Copy</span>
+              </button>
+            </div>
+            <p data-prompt>Review [repository] for dead code, stale files, unused dependencies, duplicate logic, broken links, outdated comments, inconsistent naming, and confusing structure. Preserve unrelated and uncertain work. Confirm one low-risk cleanup, make the smallest coherent change, and rerun the existing build, tests, and runtime checks. Keep only verified improvements and repeat until no confirmed low-risk cleanup remains, progress stalls, or approval is required. Return changes, evidence, and deferred candidates.</p>
+          </section>
+
+          <section class="verification-card" aria-labelledby="verify-stop">
+            <p class="eyebrow">Verify / stop</p>
+            <div>
+              <h2 id="verify-stop">Only confirmed low-risk cleanup remains, and existing behavior still passes.</h2>
+              <p>Every retained change is supported by direct evidence, the relevant project checks pass, unrelated work is untouched, and uncertain candidates are deferred rather than deleted.</p>
+            </div>
+          </section>
+
+          <details class="detail-more">
+            <summary>
+              <span>Context and guidance</span>
+              <small>When to use it, steps, safety notes, and related loops</small>
+            </summary>
+
+            <div class="detail-more-body">
+              <dl class="detail-meta">
+                <div>
+                  <dt>Published</dt>
+                  <dd><time datetime="2026-06-20">Jun 20, 2026</time></dd>
+                </div>
+                <div>
+                  <dt>Updated</dt>
+                  <dd><time datetime="2026-06-20">Jun 20, 2026</time></dd>
+                </div>
+              </dl>
+
+              <section aria-labelledby="use-when">
+                <h2 id="use-when">Use this when</h2>
+                <p>Use this for conservative codebase hygiene when small accumulations of dead code, stale files, unused dependencies, duplication, broken links, naming drift, or confusing structure are slowing maintenance.</p>
+              </section>
+
+              <section aria-labelledby="run-loop">
+                <h2 id="run-loop">How to run it</h2>
+                <ol class="detail-steps">
+                <li>Inspect the current repository state and preserve unrelated, uncommitted, active, or uncertain work before collecting cleanup candidates.</li>
+                <li>Confirm one low-risk opportunity through references, configuration, tests, or other direct evidence, then make the smallest coherent change.</li>
+                <li>Run the existing build, tests, runtime checks, and diff review; keep the cleanup only when behavior remains intact and no unrelated change slipped in.</li>
+                <li>Repeat until no confirmed low-risk cleanup remains, progress stalls, verification is unavailable, or the next change requires approval.</li>
+                </ol>
+              </section>
+
+              <section aria-labelledby="why-it-works">
+                <h2 id="why-it-works">Why it works</h2>
+                <p>One confirmed cleanup at a time keeps housekeeping reversible and reviewable. Evidence requirements and explicit protection for uncertain work prevent a tidy-up pass from deleting active or poorly understood code.</p>
+              </section>
+
+              <section class="implementation-note" aria-labelledby="implementation-note">
+                <h2 id="implementation-note">Implementation note</h2>
+                <p>This is codebase housekeeping, not the published repository cleanup loop for branches, pull requests, commits, and worktrees. Do not remove uncertain source, dependencies, generated assets, configuration, or user work merely because it looks unused.</p>
+              </section>
+
+              <nav class="related-loops" aria-labelledby="related-heading">
+                <h2 id="related-heading">Related loops</h2>
+                <div>
+
+                <a class="related-loop-link" href="../repository-cleanup-loop/">
+                  The repository cleanup loop
+                </a>
+                <a class="related-loop-link" href="../overnight-docs-sweep/">
+                  The docs sweep
+                </a>
+                </div>
+              </nav>
+            </div>
+          </details>
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diff --git a/site/loops/infinite-clickbait-loop/index.html b/site/loops/infinite-clickbait-loop/index.html
index 8e6f674..ecbf32f 100644
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+++ b/site/loops/infinite-clickbait-loop/index.html
@@ -38,8 +38,8 @@
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-    <meta name="twitter:image" content="https://signals.forwardfuture.ai/loop-library/assets/social/infinite-clickbait-loop-20260619-8.png" />
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diff --git a/site/loops/loop-harness-verification-loop/index.html b/site/loops/loop-harness-verification-loop/index.html
index f86dfd5..847933f 100644
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+++ b/site/loops/loop-harness-verification-loop/index.html
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-    <meta name="twitter:image" content="https://signals.forwardfuture.ai/loop-library/assets/social/loop-harness-verification-loop-20260619-8.png" />
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new file mode 100644
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+    <meta property="og:title" content="Multi-LLM Convergence Review Loop | Loop Library" />
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+      "keywords": [
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+
+      <article class="loop-detail">
+        <header class="detail-hero">
+          <p class="eyebrow">Loop 034</p>
+          <h1>The multi-LLM convergence loop</h1>
+          <p class="detail-lede">A cross-model review workflow that alternates two different model families, applies verified findings, and stops only on shared clearance or an honest stall.</p>
+          <p class="detail-byline">
+            Contributed by <strong>Donn Felker (@donnfelker)</strong> · <a class="detail-source-link" href="https://github.com/donnfelker/loop-skills" target="_blank" rel="noopener noreferrer">Source</a>
+          </p>
+          <div class="share-actions" aria-label="Share this loop">
+            <button
+              class="share-action share-action-primary"
+              type="button"
+              data-copy-social-post
+              data-post-text="Try &quot;The multi-LLM convergence loop&quot; from the Loop Library: Alternates independent model families until both clear the same unchanged artifact."
+              data-post-url="https://signals.forwardfuture.ai/loop-library/loops/multi-llm-convergence-loop/"
+              aria-label="Copy a social post about The multi-LLM convergence loop"
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+              </svg>
+              <span>Copy social post</span>
+            </button>
+          </div>
+        </header>
+
+        <div class="detail-stack">
+          <section class="detail-prompt-card" data-copy-root aria-labelledby="copy-loop">
+            <div class="detail-prompt-heading">
+              <div>
+                <p class="eyebrow">Ready-to-use prompt</p>
+                <h2 id="copy-loop">Copy the loop</h2>
+              </div>
+              <button class="copy-button" type="button">
+                <span>Copy</span>
+              </button>
+            </div>
+            <p data-prompt>Run multi-LLM convergence on [artifact] with [quality bar] and [pass limit]. Alternate two genuinely different model families sequentially. Verify and apply valid above-bar findings, then give the updated artifact to the other reviewer. Converge only after both independently clear the same unchanged version. Stop at the limit, oscillation, unavailable review, or approval-required work; never call a one-model result consensus. Return the artifact, round log, verdict, and disagreements.</p>
+          </section>
+
+          <section class="verification-card" aria-labelledby="verify-stop">
+            <p class="eyebrow">Verify / stop</p>
+            <div>
+              <h2 id="verify-stop">Two model families clear the same unchanged artifact.</h2>
+              <p>Consecutive clean passes come from different model families, no edit separates them, and any cap, oscillation, unavailable reviewer, or approval gate is reported as a stall.</p>
+            </div>
+          </section>
+
+          <details class="detail-more">
+            <summary>
+              <span>Context and guidance</span>
+              <small>When to use it, steps, safety notes, and related loops</small>
+            </summary>
+
+            <div class="detail-more-body">
+              <dl class="detail-meta">
+                <div>
+                  <dt>Published</dt>
+                  <dd><time datetime="2026-06-20">Jun 20, 2026</time></dd>
+                </div>
+                <div>
+                  <dt>Updated</dt>
+                  <dd><time datetime="2026-06-20">Jun 20, 2026</time></dd>
+                </div>
+              </dl>
+
+              <section aria-labelledby="use-when">
+                <h2 id="use-when">Use this when</h2>
+                <p>Use this for a specification, plan, design document, code change, or proposed review when genuine cross-model agreement is more useful than one reviewer&#39;s opinion.</p>
+              </section>
+
+              <section aria-labelledby="run-loop">
+                <h2 id="run-loop">How to run it</h2>
+                <ol class="detail-steps">
+                <li>Confirm the artifact, quality bar, pass limit, and source-of-truth material before recording the baseline.</li>
+                <li>Send the current artifact to one model family, verify its findings, apply only valid above-bar changes, and record the round.</li>
+                <li>Send the updated artifact to the other model family and continue sequentially; any edit resets the clean-pass streak.</li>
+                <li>Declare convergence only after both families clear the same unchanged artifact, otherwise stop on the cap, oscillation, reviewer failure, or an approval boundary.</li>
+                </ol>
+              </section>
+
+              <section aria-labelledby="why-it-works">
+                <h2 id="why-it-works">Why it works</h2>
+                <p>Alternating model families reduces correlated blind spots, while the unchanged-artifact rule prevents a clean review of one version from being paired with a clean review of another. The round log makes consensus auditable.</p>
+              </section>
+
+              <section class="implementation-note" aria-labelledby="implementation-note">
+                <h2 id="implementation-note">Implementation note</h2>
+                <p>This loop depends on access to two genuinely different model families and a way to supervise each review. If only one family is available, the run may continue only as a clearly labeled single-model review and must not claim cross-model convergence.</p>
+              </section>
+
+              <nav class="related-loops" aria-labelledby="related-heading">
+                <h2 id="related-heading">Related loops</h2>
+                <div>
+
+                <a class="related-loop-link" href="../clodex-adversarial-review-loop/">
+                  The Clodex adversarial-review loop
+                </a>
+                <a class="related-loop-link" href="../devils-advocate-design-loop/">
+                  The devil&#39;s-advocate loop
+                </a>
+                </div>
+              </nav>
+            </div>
+          </details>
+        </div>
+      </article>
+    </main>
+
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index 3f6a68c..79a9677 100644
--- a/site/loops/nightly-changelog-sweep/index.html
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@@ -38,8 +38,8 @@
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-    <meta name="twitter:image" content="https://signals.forwardfuture.ai/loop-library/assets/social/nightly-changelog-sweep-20260619-8.png" />
+    <meta name="twitter:image" content="https://signals.forwardfuture.ai/loop-library/assets/social/nightly-changelog-sweep-20260620-2.png" />
     <meta name="twitter:image:alt" content="The nightly changelog loop — Forward Future Loop Library" />
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index d92b5b5..856f266 100644
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+++ b/site/loops/overnight-docs-sweep/index.html
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-    <meta name="twitter:image" content="https://signals.forwardfuture.ai/loop-library/assets/social/overnight-docs-sweep-20260619-8.png" />
+    <meta name="twitter:image" content="https://signals.forwardfuture.ai/loop-library/assets/social/overnight-docs-sweep-20260620-2.png" />
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new file mode 100644
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+<html lang="en">
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+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1" />
+    <meta name="description" content="A CSS cleanup workflow that captures the full visual-state matrix before deletion and keeps only changes that shrink built CSS with pixel-identical output." />
+    <meta name="author" content="Christian Katzmann" />
+    <meta name="robots" content="index,follow,max-image-preview:large,max-snippet:-1" />
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+    <meta property="og:site_name" content="Loop Library" />
+    <meta property="og:title" content="Pixel-Safe CSS Reduction Loop | Loop Library" />
+    <meta property="og:description" content="A CSS cleanup workflow that captures the full visual-state matrix before deletion and keeps only changes that shrink built CSS with pixel-identical output." />
+    <meta property="og:url" content="https://signals.forwardfuture.ai/loop-library/loops/pixel-safe-css-trim-loop/" />
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+    <meta property="article:published_time" content="2026-06-20" />
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+      "keywords": [
+        "CSS cleanup",
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+    <title>Pixel-Safe CSS Reduction Loop | Loop Library</title>
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+        <a href="../../">&larr; All loops</a>
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+
+      <article class="loop-detail">
+        <header class="detail-hero">
+          <p class="eyebrow">Loop 038</p>
+          <h1>The pixel-safe CSS trim loop</h1>
+          <p class="detail-lede">A CSS cleanup workflow that captures the full visual-state matrix before deletion and keeps only changes that shrink built CSS with pixel-identical output.</p>
+          <p class="detail-byline">
+            Contributed by <strong>Christian Katzmann</strong> · <a class="detail-source-link" href="https://github.com/Christian-Katzmann" target="_blank" rel="noopener noreferrer">Source</a>
+          </p>
+          <div class="share-actions" aria-label="Share this loop">
+            <button
+              class="share-action share-action-primary"
+              type="button"
+              data-copy-social-post
+              data-post-text="Try &quot;The pixel-safe CSS trim loop&quot; from the Loop Library: Removes shipped CSS one verified unit at a time without visual drift."
+              data-post-url="https://signals.forwardfuture.ai/loop-library/loops/pixel-safe-css-trim-loop/"
+              aria-label="Copy a social post about The pixel-safe CSS trim loop"
+            >
+              <svg class="share-copy-icon" viewBox="0 0 24 24" aria-hidden="true">
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+              </svg>
+              <span>Copy social post</span>
+            </button>
+          </div>
+        </header>
+
+        <div class="detail-stack">
+          <section class="detail-prompt-card" data-copy-root aria-labelledby="copy-loop">
+            <div class="detail-prompt-heading">
+              <div>
+                <p class="eyebrow">Ready-to-use prompt</p>
+                <h2 id="copy-loop">Copy the loop</h2>
+              </div>
+              <button class="copy-button" type="button">
+                <span>Copy</span>
+              </button>
+            </div>
+            <p data-prompt>Reduce shipped CSS without changing any covered visual state. Before deleting anything, capture a representative screenshot matrix and record built CSS size; treat coverage findings as candidates. Remove one declaration or rule, rebuild, and rerun the full matrix and project checks. Keep it only if every screenshot is pixel-identical and the built CSS is smaller; otherwise revert. Repeat until no supported candidate remains or attempts plateau. Return the reduction, evidence, and uncovered browser or state risks.</p>
+          </section>
+
+          <section class="verification-card" aria-labelledby="verify-stop">
+            <p class="eyebrow">Verify / stop</p>
+            <div>
+              <h2 id="verify-stop">Built CSS shrinks while every covered visual state remains pixel-identical.</h2>
+              <p>The complete screenshot matrix and project checks pass after each retained deletion, the shipped artifact is smaller, and uncovered browsers or states remain explicit risks.</p>
+            </div>
+          </section>
+
+          <details class="detail-more">
+            <summary>
+              <span>Context and guidance</span>
+              <small>When to use it, steps, safety notes, and related loops</small>
+            </summary>
+
+            <div class="detail-more-body">
+              <dl class="detail-meta">
+                <div>
+                  <dt>Published</dt>
+                  <dd><time datetime="2026-06-20">Jun 20, 2026</time></dd>
+                </div>
+                <div>
+                  <dt>Updated</dt>
+                  <dd><time datetime="2026-06-20">Jun 20, 2026</time></dd>
+                </div>
+              </dl>
+
+              <section aria-labelledby="use-when">
+                <h2 id="use-when">Use this when</h2>
+                <p>Use this when a stylesheet that ships to users contains likely dead declarations, redundant rules, or order-dependent overrides and the complete visual surface can be captured repeatably.</p>
+              </section>
+
+              <section aria-labelledby="run-loop">
+                <h2 id="run-loop">How to run it</h2>
+                <ol class="detail-steps">
+                <li>Before deleting anything, list representative pages, templates, viewports, modes, conditional states, hover and focus states, and variants; capture and hash the full screenshot matrix and record built CSS size.</li>
+                <li>Run CSS coverage to generate candidates, then remove one declaration or complete rule in the maintainable source of truth.</li>
+                <li>Rebuild, rerun project checks, render the entire matrix, and keep the deletion only when every screenshot is pixel-identical and the built CSS is smaller; otherwise revert it.</li>
+                <li>Repeat until no supported candidate remains, repeated deletions plateau, the gate cannot cover the affected behavior, or approval is required.</li>
+                </ol>
+              </section>
+
+              <section aria-labelledby="why-it-works">
+                <h2 id="why-it-works">Why it works</h2>
+                <p>Capturing the visual specification before cleanup prevents missing styles from being normalized into the baseline. Exact image equality and one deletion per round expose order-dependent CSS that coverage tools alone cannot judge.</p>
+              </section>
+
+              <section class="implementation-note" aria-labelledby="implementation-note">
+                <h2 id="implementation-note">Implementation note</h2>
+                <p>The gate cannot protect a browser, interaction, animation, or conditional state it never renders. Add uncertain states before deleting their CSS, make maintainable changes in source, and measure the built artifact users actually download.</p>
+              </section>
+
+              <nav class="related-loops" aria-labelledby="related-heading">
+                <h2 id="related-heading">Related loops</h2>
+                <div>
+
+                <a class="related-loop-link" href="../cold-load-trimmer-loop/">
+                  The cold-load trimmer loop
+                </a>
+                <a class="related-loop-link" href="../ui-ux-score-loop/">
+                  The UI/UX Score Loop
+                </a>
+                </div>
+              </nav>
+            </div>
+          </details>
+        </div>
+      </article>
+    </main>
+
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diff --git a/site/loops/post-release-baseline-loop/index.html b/site/loops/post-release-baseline-loop/index.html
index 676072c..c0164ca 100644
--- a/site/loops/post-release-baseline-loop/index.html
+++ b/site/loops/post-release-baseline-loop/index.html
@@ -38,8 +38,8 @@
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-    <meta property="og:image:secure_url" content="https://signals.forwardfuture.ai/loop-library/assets/social/post-release-baseline-loop-20260619-8.png" />
+    <meta property="og:image" content="https://signals.forwardfuture.ai/loop-library/assets/social/post-release-baseline-loop-20260620-2.png" />
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@@ -49,7 +49,7 @@
     <meta name="twitter:card" content="summary_large_image" />
     <meta name="twitter:title" content="Post-Release Benchmark Baseline Loop | Loop Library" />
     <meta name="twitter:description" content="A triggered release workflow that runs standard benchmarks against the completed release and records a reproducible baseline for future comparisons." />
-    <meta name="twitter:image" content="https://signals.forwardfuture.ai/loop-library/assets/social/post-release-baseline-loop-20260619-8.png" />
+    <meta name="twitter:image" content="https://signals.forwardfuture.ai/loop-library/assets/social/post-release-baseline-loop-20260620-2.png" />
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@@ -99,7 +99,7 @@
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diff --git a/site/loops/product-update-podcast-loop/index.html b/site/loops/product-update-podcast-loop/index.html
index 92ac3df..03252aa 100644
--- a/site/loops/product-update-podcast-loop/index.html
+++ b/site/loops/product-update-podcast-loop/index.html
@@ -38,8 +38,8 @@
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+    <meta name="description" content="An evidence-based product trust workflow that audits public claims, fixes the highest-risk proof gap, and repeats until unsupported promises are resolved." />
+    <meta name="author" content="Felix Haeberle (@felixhaberle)" />
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+    <meta property="og:title" content="Promise-to-Proof Product Audit | Loop Library" />
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+      "keywords": [
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+          <p class="eyebrow">Loop 032</p>
+          <h1>The promise-to-proof loop</h1>
+          <p class="detail-lede">An evidence-based product trust workflow that audits public claims, fixes the highest-risk proof gap, and repeats until unsupported promises are resolved.</p>
+          <p class="detail-byline">
+            Contributed by <strong>Felix Haeberle (@felixhaberle)</strong>
+          </p>
+          <div class="share-actions" aria-label="Share this loop">
+            <button
+              class="share-action share-action-primary"
+              type="button"
+              data-copy-social-post
+              data-post-text="Try &quot;The promise-to-proof loop&quot; from the Loop Library: Audits customer-facing promises and closes the highest-risk gaps with current evidence."
+              data-post-url="https://signals.forwardfuture.ai/loop-library/loops/promise-to-proof-loop/"
+              aria-label="Copy a social post about The promise-to-proof loop"
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+              </svg>
+              <span>Copy social post</span>
+            </button>
+          </div>
+        </header>
+
+        <div class="detail-stack">
+          <section class="detail-prompt-card" data-copy-root aria-labelledby="copy-loop">
+            <div class="detail-prompt-heading">
+              <div>
+                <p class="eyebrow">Ready-to-use prompt</p>
+                <h2 id="copy-loop">Copy the loop</h2>
+              </div>
+              <button class="copy-button" type="button">
+                <span>Copy</span>
+              </button>
+            </div>
+            <p data-prompt>Audit every public or customer-facing promise in [product]. Classify each claim as proven, partially proven, misleading, unsupported, stale, or missing proof using current product evidence. Rank gaps by trust risk, fix the highest-leverage one, and rerun the affected checks. Repeat until no high-risk unsupported promise remains or progress needs approval. Ask before changing production or publishing customer-facing material. Return the inventory, fixes, evidence, and open decisions.</p>
+          </section>
+
+          <section class="verification-card" aria-labelledby="verify-stop">
+            <p class="eyebrow">Verify / stop</p>
+            <div>
+              <h2 id="verify-stop">No high-risk customer promise lacks current proof.</h2>
+              <p>Every claim has an evidence-backed status, the highest-risk gaps are resolved or approval-gated, and affected surfaces pass the same checks again.</p>
+            </div>
+          </section>
+
+          <details class="detail-more">
+            <summary>
+              <span>Context and guidance</span>
+              <small>When to use it, steps, safety notes, and related loops</small>
+            </summary>
+
+            <div class="detail-more-body">
+              <dl class="detail-meta">
+                <div>
+                  <dt>Published</dt>
+                  <dd><time datetime="2026-06-20">Jun 20, 2026</time></dd>
+                </div>
+                <div>
+                  <dt>Updated</dt>
+                  <dd><time datetime="2026-06-20">Jun 20, 2026</time></dd>
+                </div>
+              </dl>
+
+              <section aria-labelledby="use-when">
+                <h2 id="use-when">Use this when</h2>
+                <p>Use this when product behavior, marketing, documentation, demos, or AI-generated answers may have drifted apart and trust depends on reconciling the promises with current evidence.</p>
+              </section>
+
+              <section aria-labelledby="run-loop">
+                <h2 id="run-loop">How to run it</h2>
+                <ol class="detail-steps">
+                <li>Inventory public and customer-facing promises across the agreed surfaces, then express each one as a concrete user expectation.</li>
+                <li>Check each claim against current product behavior, code, tests, documentation, examples, logs, and other available evidence; classify the result without guessing.</li>
+                <li>Rank unsupported or weakly supported claims by trust risk, fix the highest-leverage gap, and ask before production changes or publication.</li>
+                <li>Rerun the affected checks under the same evidence standard and repeat until no high-risk unsupported promise remains or progress reaches a named terminal state.</li>
+                </ol>
+              </section>
+
+              <section aria-labelledby="why-it-works">
+                <h2 id="why-it-works">Why it works</h2>
+                <p>A claim inventory turns vague trust concerns into reviewable evidence. Fixing one high-risk gap at a time keeps product, proof, and public language aligned without letting a broad audit become an uncontrolled rewrite.</p>
+              </section>
+
+              <section class="implementation-note" aria-labelledby="implementation-note">
+                <h2 id="implementation-note">Implementation note</h2>
+                <p>Preserve the submitted distinctions: proven, partially proven, misleading, unsupported, stale, and missing proof. A claim can be narrowed or supported instead of forcing the product to change, but deployment and customer-facing publication still require approval.</p>
+              </section>
+
+              <nav class="related-loops" aria-labelledby="related-heading">
+                <h2 id="related-heading">Related loops</h2>
+                <div>
+
+                <a class="related-loop-link" href="../full-product-evaluation-loop/">
+                  The full product evaluation loop
+                </a>
+                <a class="related-loop-link" href="../recent-feedback-sweep/">
+                  The recent-feedback sweep
+                </a>
+                </div>
+              </nav>
+            </div>
+          </details>
+        </div>
+      </article>
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new file mode 100644
index 0000000..f062ff6
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+      "datePublished": "2026-06-20",
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+      "articleSection": "AI coding agent workflow",
+      "keywords": [
+        "configuration propagation",
+        "version update audit",
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+        <a href="../../">&larr; All loops</a>
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+
+      <article class="loop-detail">
+        <header class="detail-hero">
+          <p class="eyebrow">Loop 033</p>
+          <h1>The propagation compliance loop</h1>
+          <p class="detail-lede">A repository consistency workflow that cascades state changes, searches for stale references, and proves that every confirmed discrepancy is resolved.</p>
+          <p class="detail-byline">
+            Contributed by <strong>@iamTristan</strong>
+          </p>
+          <div class="share-actions" aria-label="Share this loop">
+            <button
+              class="share-action share-action-primary"
+              type="button"
+              data-copy-social-post
+              data-post-text="Try &quot;The propagation compliance loop&quot; from the Loop Library: Finds and fixes stale references after versions, rules, counts, or configurations change."
+              data-post-url="https://signals.forwardfuture.ai/loop-library/loops/propagation-compliance-loop/"
+              aria-label="Copy a social post about The propagation compliance loop"
+            >
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+              </svg>
+              <span>Copy social post</span>
+            </button>
+          </div>
+        </header>
+
+        <div class="detail-stack">
+          <section class="detail-prompt-card" data-copy-root aria-labelledby="copy-loop">
+            <div class="detail-prompt-heading">
+              <div>
+                <p class="eyebrow">Ready-to-use prompt</p>
+                <h2 id="copy-loop">Copy the loop</h2>
+              </div>
+              <button class="copy-button" type="button">
+                <span>Copy</span>
+              </button>
+            </div>
+            <p data-prompt>After changing a version, count, rule, or configuration, update every affected file. Search for the old value and related stale references; distinguish real discrepancies from intentional history, examples, migrations, or compatibility rules. Fix every confirmed discrepancy and rerun the same searches until zero stale values remain. If the same discrepancy survives two rounds, stop and report what appears to be regenerating it. Return the changes and verification output.</p>
+          </section>
+
+          <section class="verification-card" aria-labelledby="verify-stop">
+            <p class="eyebrow">Verify / stop</p>
+            <div>
+              <h2 id="verify-stop">The affected repository contains zero confirmed stale values.</h2>
+              <p>The original and related search terms return only intentional matches, and the final search output records why each remaining match is valid.</p>
+            </div>
+          </section>
+
+          <details class="detail-more">
+            <summary>
+              <span>Context and guidance</span>
+              <small>When to use it, steps, safety notes, and related loops</small>
+            </summary>
+
+            <div class="detail-more-body">
+              <dl class="detail-meta">
+                <div>
+                  <dt>Published</dt>
+                  <dd><time datetime="2026-06-20">Jun 20, 2026</time></dd>
+                </div>
+                <div>
+                  <dt>Updated</dt>
+                  <dd><time datetime="2026-06-20">Jun 20, 2026</time></dd>
+                </div>
+              </dl>
+
+              <section aria-labelledby="use-when">
+                <h2 id="use-when">Use this when</h2>
+                <p>Use this after changing a version, count, rule, configuration value, identifier, or other state that is duplicated across code, documentation, memory, or operational files.</p>
+              </section>
+
+              <section aria-labelledby="run-loop">
+                <h2 id="run-loop">How to run it</h2>
+                <ol class="detail-steps">
+                <li>Map the state change to every affected file and cascade the new value through the known dependency surface.</li>
+                <li>Search for the old value and related stale forms, treating each match as a candidate rather than automatically rewriting history or compatibility examples.</li>
+                <li>Fix every confirmed discrepancy, rerun the same searches, and record intentional matches with their justification.</li>
+                <li>Continue until zero stale values remain; if the same discrepancy survives two rounds, stop and identify the process that may be regenerating it.</li>
+                </ol>
+              </section>
+
+              <section aria-labelledby="why-it-works">
+                <h2 id="why-it-works">Why it works</h2>
+                <p>The second search is the important part: it catches propagation gaps that a single update pass misses. Candidate classification also prevents the loop from corrupting intentional historical or compatibility references.</p>
+              </section>
+
+              <section class="implementation-note" aria-labelledby="implementation-note">
+                <h2 id="implementation-note">Implementation note</h2>
+                <p>The submitted example updates a daily note, HEARTBEAT, TOOLS, and a procedure file, then re-greps old versions until no discrepancy remains. Keep that proof discipline, but adapt the search terms and affected surface to the actual state change.</p>
+              </section>
+
+              <nav class="related-loops" aria-labelledby="related-heading">
+                <h2 id="related-heading">Related loops</h2>
+                <div>
+
+                <a class="related-loop-link" href="../overnight-docs-sweep/">
+                  The docs sweep
+                </a>
+                <a class="related-loop-link" href="../recent-feedback-sweep/">
+                  The recent-feedback sweep
+                </a>
+                </div>
+              </nav>
+            </div>
+          </details>
+        </div>
+      </article>
+    </main>
+
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diff --git a/site/loops/quality-streak-loop/index.html b/site/loops/quality-streak-loop/index.html
index f7f5225..e1d64b7 100644
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+++ b/site/loops/quality-streak-loop/index.html
@@ -38,8 +38,8 @@
     <meta property="og:title" content="Quality Streak Evaluation Loop for AI Products | Loop Library" />
     <meta property="og:description" content="A realistic product-testing workflow that turns every failure into documented regression coverage and restarts the success streak after each fix." />
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     <meta name="twitter:title" content="Quality Streak Evaluation Loop for AI Products | Loop Library" />
     <meta name="twitter:description" content="A realistic product-testing workflow that turns every failure into documented regression coverage and restarts the success streak after each fix." />
-    <meta name="twitter:image" content="https://signals.forwardfuture.ai/loop-library/assets/social/quality-streak-loop-20260619-8.png" />
+    <meta name="twitter:image" content="https://signals.forwardfuture.ai/loop-library/assets/social/quality-streak-loop-20260620-2.png" />
     <meta name="twitter:image:alt" content="The quality streak loop — Forward Future Loop Library" />
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@@ -99,7 +99,7 @@
       ],
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+        "url": "https://signals.forwardfuture.ai/loop-library/assets/social/quality-streak-loop-20260620-2.png",
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diff --git a/site/loops/recent-feedback-sweep/index.html b/site/loops/recent-feedback-sweep/index.html
index 7831deb..33482b3 100644
--- a/site/loops/recent-feedback-sweep/index.html
+++ b/site/loops/recent-feedback-sweep/index.html
@@ -38,8 +38,8 @@
     <meta property="og:title" content="Recent-Feedback Project Audit | Loop Library" />
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     <meta property="og:url" content="https://signals.forwardfuture.ai/loop-library/loops/recent-feedback-sweep/" />
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-    <meta property="og:image:secure_url" content="https://signals.forwardfuture.ai/loop-library/assets/social/recent-feedback-sweep-20260619-8.png" />
+    <meta property="og:image" content="https://signals.forwardfuture.ai/loop-library/assets/social/recent-feedback-sweep-20260620-2.png" />
+    <meta property="og:image:secure_url" content="https://signals.forwardfuture.ai/loop-library/assets/social/recent-feedback-sweep-20260620-2.png" />
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     <meta name="twitter:title" content="Recent-Feedback Project Audit | Loop Library" />
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-    <meta name="twitter:image" content="https://signals.forwardfuture.ai/loop-library/assets/social/recent-feedback-sweep-20260619-8.png" />
+    <meta name="twitter:image" content="https://signals.forwardfuture.ai/loop-library/assets/social/recent-feedback-sweep-20260620-2.png" />
     <meta name="twitter:image:alt" content="The recent-feedback sweep — Forward Future Loop Library" />
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       ],
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+        "url": "https://signals.forwardfuture.ai/loop-library/assets/social/recent-feedback-sweep-20260620-2.png",
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diff --git a/site/loops/repository-cleanup-loop/index.html b/site/loops/repository-cleanup-loop/index.html
index 96dab5f..3eb6d46 100644
--- a/site/loops/repository-cleanup-loop/index.html
+++ b/site/loops/repository-cleanup-loop/index.html
@@ -38,8 +38,8 @@
     <meta property="og:title" content="Repository Cleanup Loop for Coding Agents | Loop Library" />
     <meta property="og:description" content="A repository-hygiene workflow that audits branches, pull requests, commits, and worktrees, recovers valuable changes, and removes proven stale state." />
     <meta property="og:url" content="https://signals.forwardfuture.ai/loop-library/loops/repository-cleanup-loop/" />
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-    <meta property="og:image:secure_url" content="https://signals.forwardfuture.ai/loop-library/assets/social/repository-cleanup-loop-20260619-8.png" />
+    <meta property="og:image" content="https://signals.forwardfuture.ai/loop-library/assets/social/repository-cleanup-loop-20260620-2.png" />
+    <meta property="og:image:secure_url" content="https://signals.forwardfuture.ai/loop-library/assets/social/repository-cleanup-loop-20260620-2.png" />
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@@ -49,7 +49,7 @@
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     <meta name="twitter:title" content="Repository Cleanup Loop for Coding Agents | Loop Library" />
     <meta name="twitter:description" content="A repository-hygiene workflow that audits branches, pull requests, commits, and worktrees, recovers valuable changes, and removes proven stale state." />
-    <meta name="twitter:image" content="https://signals.forwardfuture.ai/loop-library/assets/social/repository-cleanup-loop-20260619-8.png" />
+    <meta name="twitter:image" content="https://signals.forwardfuture.ai/loop-library/assets/social/repository-cleanup-loop-20260620-2.png" />
     <meta name="twitter:image:alt" content="The repository cleanup loop — Forward Future Loop Library" />
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@@ -99,7 +99,7 @@
       ],
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-        "url": "https://signals.forwardfuture.ai/loop-library/assets/social/repository-cleanup-loop-20260619-8.png",
+        "url": "https://signals.forwardfuture.ai/loop-library/assets/social/repository-cleanup-loop-20260620-2.png",
         "width": 1200,
         "height": 630
       },
diff --git a/site/loops/revolve-self-improvement-loop/index.html b/site/loops/revolve-self-improvement-loop/index.html
index 3244585..61d444f 100644
--- a/site/loops/revolve-self-improvement-loop/index.html
+++ b/site/loops/revolve-self-improvement-loop/index.html
@@ -38,8 +38,8 @@
     <meta property="og:title" content="Revolve Versioned Experiment Loop | Loop Library" />
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+      "description": "A browser-based UI and UX improvement workflow that captures complete flows, scores meaningful states, and keeps only regression-free gains.",
+      "url": "https://signals.forwardfuture.ai/loop-library/loops/ui-ux-score-loop/",
+      "mainEntityOfPage": "https://signals.forwardfuture.ai/loop-library/loops/ui-ux-score-loop/",
+      "datePublished": "2026-06-20",
+      "dateModified": "2026-06-20",
+      "articleSection": "AI frontend design workflow",
+      "keywords": [
+        "UI UX score",
+        "browser flow audit",
+        "responsive design review",
+        "fresh browser state",
+        "user experience improvement"
+      ],
+      "isBasedOn": "https://github.com/hcassar93/ui-ux-score-loop",
+      "image": {
+        "@type": "ImageObject",
+        "url": "https://signals.forwardfuture.ai/loop-library/assets/social/ui-ux-score-loop-20260620-2.png",
+        "width": 1200,
+        "height": 630
+      },
+      "author": {
+        "@type": "Person",
+        "name": "Hayden Cassar (@hcassar93)"
+      },
+      "publisher": {
+        "@id": "https://signals.forwardfuture.ai/loop-library/#organization"
+      },
+      "isPartOf": {
+        "@id": "https://signals.forwardfuture.ai/loop-library/#collection"
+      }
+    },
+    {
+      "@type": "Organization",
+      "@id": "https://signals.forwardfuture.ai/loop-library/#organization",
+      "name": "Forward Future",
+      "url": "https://forwardfuture.ai/",
+      "logo": {
+        "@type": "ImageObject",
+        "url": "https://signals.forwardfuture.ai/loop-library/assets/ff-mark.png",
+        "width": 1920,
+        "height": 1920
+      }
+    }
+  ]
+}
+    </script>
+    <script src="../../script.js?v=20260620-social-copy" defer></script>
+    <title>Browser UI/UX Score Loop | Loop Library</title>
+  </head>
+  <body>
+    <a class="skip-link" href="#main">Skip to content</a>
+
+    <header class="site-header">
+      <a class="brand-lockup" href="../../" aria-label="Forward Future Loop Library home">
+        <img
+          class="brand-mark"
+          src="../../assets/favicon.png"
+          width="32"
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+        />
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+      </a>
+
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+        <a href="../../#library">All loops</a>
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+          data-here-now-credit
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+          rel="noopener noreferrer"
+          aria-label="Hosted by here.now"
+        >
+          <img
+            class="here-now-credit__icon"
+            src="../../assets/here-now-icon.svg"
+            alt=""
+            aria-hidden="true"
+          />
+          <span class="here-now-credit__text">
+            <small>Hosted by</small>
+            <strong>here.now</strong>
+          </span>
+        </a>
+      </nav>
+    </header>
+
+    <main class="detail-main page-width" id="main">
+      <nav class="breadcrumbs" aria-label="Breadcrumb">
+        <a href="../../">&larr; All loops</a>
+      </nav>
+
+      <article class="loop-detail">
+        <header class="detail-hero">
+          <p class="eyebrow">Loop 036</p>
+          <h1>The UI/UX Score Loop</h1>
+          <p class="detail-lede">A browser-based UI and UX improvement workflow that captures complete flows, scores meaningful states, and keeps only regression-free gains.</p>
+          <p class="detail-byline">
+            Contributed by <strong>Hayden Cassar (@hcassar93)</strong> · <a class="detail-source-link" href="https://github.com/hcassar93/ui-ux-score-loop" target="_blank" rel="noopener noreferrer">Source</a>
+          </p>
+          <div class="share-actions" aria-label="Share this loop">
+            <button
+              class="share-action share-action-primary"
+              type="button"
+              data-copy-social-post
+              data-post-text="Try &quot;The UI/UX Score Loop&quot; from the Loop Library: Improves complete user flows through fresh browser evidence and repeatable scoring."
+              data-post-url="https://signals.forwardfuture.ai/loop-library/loops/ui-ux-score-loop/"
+              aria-label="Copy a social post about The UI/UX Score Loop"
+            >
+              <svg class="share-copy-icon" viewBox="0 0 24 24" aria-hidden="true">
+                <rect x="8" y="8" width="11" height="11"></rect>
+                <path d="M16 8V5a1 1 0 0 0-1-1H5a1 1 0 0 0-1 1v10a1 1 0 0 0 1 1h3"></path>
+              </svg>
+              <span>Copy social post</span>
+            </button>
+          </div>
+        </header>
+
+        <div class="detail-stack">
+          <section class="detail-prompt-card" data-copy-root aria-labelledby="copy-loop">
+            <div class="detail-prompt-heading">
+              <div>
+                <p class="eyebrow">Ready-to-use prompt</p>
+                <h2 id="copy-loop">Copy the loop</h2>
+              </div>
+              <button class="copy-button" type="button">
+                <span>Copy</span>
+              </button>
+            </div>
+            <p data-prompt>Run UI/UX Score Loop on [flow] at [URL] with [completion criterion]. Use a real browser and fresh state for every breakpoint and mode. Capture and score each meaningful view, improve the lowest safe scores, then rerun the complete flow under the same conditions. Keep only regression-free improvements. Stop when the criterion is met, two full passes stall, access is blocked, or approval is required. Return the dashboard and evidence.</p>
+          </section>
+
+          <section class="verification-card" aria-labelledby="verify-stop">
+            <p class="eyebrow">Verify / stop</p>
+            <div>
+              <h2 id="verify-stop">The complete flow improves under the same fresh-state evidence matrix.</h2>
+              <p>Every retained change raises the selected target without lowering another important view, and the final dashboard records browser, state, breakpoint, mode, scores, screenshots, and stop reason.</p>
+            </div>
+          </section>
+
+          <details class="detail-more">
+            <summary>
+              <span>Context and guidance</span>
+              <small>When to use it, steps, safety notes, and related loops</small>
+            </summary>
+
+            <div class="detail-more-body">
+              <dl class="detail-meta">
+                <div>
+                  <dt>Published</dt>
+                  <dd><time datetime="2026-06-20">Jun 20, 2026</time></dd>
+                </div>
+                <div>
+                  <dt>Updated</dt>
+                  <dd><time datetime="2026-06-20">Jun 20, 2026</time></dd>
+                </div>
+              </dl>
+
+              <section aria-labelledby="use-when">
+                <h2 id="use-when">Use this when</h2>
+                <p>Use this to improve signup, login, onboarding, checkout, create-edit-delete, sharing, or another named product flow that can be exercised in a real browser and judged with a stable rubric.</p>
+              </section>
+
+              <section aria-labelledby="run-loop">
+                <h2 id="run-loop">How to run it</h2>
+                <ol class="detail-steps">
+                <li>Confirm the flow boundary, exact entry point, completion criterion, browser, fresh-state policy, viewports, modes, view granularity, intensity, exclusions, and approval boundaries.</li>
+                <li>Run iteration zero without editing, capture every meaningful view under the full evidence matrix, score each one from the user&#39;s perspective, and build the dashboard.</li>
+                <li>Improve the lowest safe scores, then rerun the complete flow from fresh browser state under the same conditions and record every delta.</li>
+                <li>Keep only regression-free gains and repeat until the criterion is met, two complete passes stall, access is blocked, or the next useful change requires approval.</li>
+                </ol>
+              </section>
+
+              <section aria-labelledby="why-it-works">
+                <h2 id="why-it-works">Why it works</h2>
+                <p>Fresh browser state prevents retained sessions from hiding onboarding and authentication friction. A complete flow matrix and fixed rubric turn visual judgment into comparable evidence while still respecting the product&#39;s real requirements.</p>
+              </section>
+
+              <section class="implementation-note" aria-labelledby="implementation-note">
+                <h2 id="implementation-note">Implementation note</h2>
+                <p>A flow is a user goal, not a guessed route. Start at the supplied URL exactly, or at the discoverable app root when no URL is supplied, and follow visible navigation. Capture only user-meaningful states, and do not infer quality from console output the user cannot see.</p>
+              </section>
+
+              <nav class="related-loops" aria-labelledby="related-heading">
+                <h2 id="related-heading">Related loops</h2>
+                <div>
+
+                <a class="related-loop-link" href="../war-loops-frontend-designer/">
+                  War Loops: frontend reconstruction
+                </a>
+                <a class="related-loop-link" href="../full-product-evaluation-loop/">
+                  The full product evaluation loop
+                </a>
+                </div>
+              </nav>
+            </div>
+          </details>
+        </div>
+      </article>
+    </main>
+
+    <footer class="site-footer">
+      <div class="page-width footer-inner">
+        <p><strong>Forward Future</strong> <span>Make the future legible.</span></p>
+        <div class="footer-actions">
+          <p>
+            <a href="../../">Loop Library</a>
+            <a href="https://forwardfuture.ai/" rel="noopener">forwardfuture.ai</a>
+            <span>&copy; 2026</span>
+          </p>
+          <a
+          class="here-now-credit here-now-credit--footer"
+          data-here-now-credit
+          href="https://here.now/r/signals"
+          target="_blank"
+          rel="noopener noreferrer"
+          aria-label="Hosted by here.now"
+        >
+          <img
+            class="here-now-credit__icon"
+            src="../../assets/here-now-icon.svg"
+            alt=""
+            aria-hidden="true"
+          />
+          <span class="here-now-credit__text">
+            <small>Hosted by</small>
+            <strong>here.now</strong>
+          </span>
+        </a>
+        </div>
+      </div>
+    </footer>
+
+    <div class="toast" id="toast" role="status" aria-live="polite"></div>
+  </body>
+</html>
diff --git a/site/loops/war-loops-frontend-designer/index.html b/site/loops/war-loops-frontend-designer/index.html
index 73d11a8..11a8155 100644
--- a/site/loops/war-loops-frontend-designer/index.html
+++ b/site/loops/war-loops-frontend-designer/index.html
@@ -38,8 +38,8 @@
     <meta property="og:title" content="War Loops Frontend Reconstruction Workflow | Loop Library" />
     <meta property="og:description" content="A War Loops workflow that captures a real page, builds a static Pencil mirror and moving Forge version, then repairs the weakest fidelity signals." />
     <meta property="og:url" content="https://signals.forwardfuture.ai/loop-library/loops/war-loops-frontend-designer/" />
-    <meta property="og:image" content="https://signals.forwardfuture.ai/loop-library/assets/social/war-loops-frontend-designer-20260619-8.png" />
-    <meta property="og:image:secure_url" content="https://signals.forwardfuture.ai/loop-library/assets/social/war-loops-frontend-designer-20260619-8.png" />
+    <meta property="og:image" content="https://signals.forwardfuture.ai/loop-library/assets/social/war-loops-frontend-designer-20260620-2.png" />
+    <meta property="og:image:secure_url" content="https://signals.forwardfuture.ai/loop-library/assets/social/war-loops-frontend-designer-20260620-2.png" />
     <meta property="og:image:type" content="image/png" />
     <meta property="og:image:width" content="1200" />
     <meta property="og:image:height" content="630" />
@@ -49,7 +49,7 @@
     <meta name="twitter:card" content="summary_large_image" />
     <meta name="twitter:title" content="War Loops Frontend Reconstruction Workflow | Loop Library" />
     <meta name="twitter:description" content="A War Loops workflow that captures a real page, builds a static Pencil mirror and moving Forge version, then repairs the weakest fidelity signals." />
-    <meta name="twitter:image" content="https://signals.forwardfuture.ai/loop-library/assets/social/war-loops-frontend-designer-20260619-8.png" />
+    <meta name="twitter:image" content="https://signals.forwardfuture.ai/loop-library/assets/social/war-loops-frontend-designer-20260620-2.png" />
     <meta name="twitter:image:alt" content="War Loops: frontend reconstruction — Forward Future Loop Library" />
     <link rel="canonical" href="https://signals.forwardfuture.ai/loop-library/loops/war-loops-frontend-designer/" />
     <link rel="sitemap" type="application/xml" href="https://signals.forwardfuture.ai/loop-library/sitemap.xml" />
@@ -100,7 +100,7 @@
       "isBasedOn": "https://github.com/0xtigerclaw/war_loops",
       "image": {
         "@type": "ImageObject",
-        "url": "https://signals.forwardfuture.ai/loop-library/assets/social/war-loops-frontend-designer-20260619-8.png",
+        "url": "https://signals.forwardfuture.ai/loop-library/assets/social/war-loops-frontend-designer-20260620-2.png",
         "width": 1200,
         "height": 630
       },
diff --git a/site/sitemap.xml b/site/sitemap.xml
index c532d55..a793364 100644
--- a/site/sitemap.xml
+++ b/site/sitemap.xml
@@ -2,11 +2,11 @@
 <urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9">
   <url>
     <loc>https://signals.forwardfuture.ai/loop-library/</loc>
-    <lastmod>2026-06-19</lastmod>
+    <lastmod>2026-06-20</lastmod>
   </url>
   <url>
     <loc>https://signals.forwardfuture.ai/loop-library/learn/</loc>
-    <lastmod>2026-06-19</lastmod>
+    <lastmod>2026-06-20</lastmod>
   </url>
   <url>
     <loc>https://signals.forwardfuture.ai/loop-library/loops/overnight-docs-sweep/</loc>
@@ -132,4 +132,48 @@
     <loc>https://signals.forwardfuture.ai/loop-library/loops/recent-feedback-sweep/</loc>
     <lastmod>2026-06-19</lastmod>
   </url>
+  <url>
+    <loc>https://signals.forwardfuture.ai/loop-library/loops/promise-to-proof-loop/</loc>
+    <lastmod>2026-06-20</lastmod>
+  </url>
+  <url>
+    <loc>https://signals.forwardfuture.ai/loop-library/loops/propagation-compliance-loop/</loc>
+    <lastmod>2026-06-20</lastmod>
+  </url>
+  <url>
+    <loc>https://signals.forwardfuture.ai/loop-library/loops/multi-llm-convergence-loop/</loc>
+    <lastmod>2026-06-20</lastmod>
+  </url>
+  <url>
+    <loc>https://signals.forwardfuture.ai/loop-library/loops/goal-forge-loop/</loc>
+    <lastmod>2026-06-20</lastmod>
+  </url>
+  <url>
+    <loc>https://signals.forwardfuture.ai/loop-library/loops/ui-ux-score-loop/</loc>
+    <lastmod>2026-06-20</lastmod>
+  </url>
+  <url>
+    <loc>https://signals.forwardfuture.ai/loop-library/loops/cold-load-trimmer-loop/</loc>
+    <lastmod>2026-06-20</lastmod>
+  </url>
+  <url>
+    <loc>https://signals.forwardfuture.ai/loop-library/loops/pixel-safe-css-trim-loop/</loc>
+    <lastmod>2026-06-20</lastmod>
+  </url>
+  <url>
+    <loc>https://signals.forwardfuture.ai/loop-library/loops/easy-onboarding-loop/</loc>
+    <lastmod>2026-06-20</lastmod>
+  </url>
+  <url>
+    <loc>https://signals.forwardfuture.ai/loop-library/loops/accessibility-repair-loop/</loc>
+    <lastmod>2026-06-20</lastmod>
+  </url>
+  <url>
+    <loc>https://signals.forwardfuture.ai/loop-library/loops/housekeeper-loop/</loc>
+    <lastmod>2026-06-20</lastmod>
+  </url>
+  <url>
+    <loc>https://signals.forwardfuture.ai/loop-library/loops/axelrod-subagent-arena-loop/</loc>
+    <lastmod>2026-06-20</lastmod>
+  </url>
 </urlset>
diff --git a/skills/loop-library/references/catalog.md b/skills/loop-library/references/catalog.md
index 3078114..56196cd 100644
--- a/skills/loop-library/references/catalog.md
+++ b/skills/loop-library/references/catalog.md
@@ -1,6 +1,6 @@
 # Published Loop Library catalog
 
-Generated from `scripts/loop-data.mjs` (catalog updated 2026-06-19).
+Generated from `scripts/loop-data.mjs` (catalog updated 2026-06-20).
 Live catalog: https://signals.forwardfuture.ai/loop-library/catalog.md
 Machine-readable catalog: https://signals.forwardfuture.ai/loop-library/catalog.json
 
@@ -286,3 +286,102 @@ URL above.
 - Verify: The issue inventory is closed and a fresh pattern audit is clean. Every reported issue and newly found match has current proof of resolution; blocked, approval-gated, or budget-exhausted items remain explicitly open.
 - Keywords: recent user feedback, project-wide issue audit, failure pattern sweep, regression prevention, AI coding agent
 - Related: [The full product evaluation loop](https://signals.forwardfuture.ai/loop-library/loops/full-product-evaluation-loop/), [The quality streak loop](https://signals.forwardfuture.ai/loop-library/loops/quality-streak-loop/)
+
+## 032 — [The promise-to-proof loop](https://signals.forwardfuture.ai/loop-library/loops/promise-to-proof-loop/)
+
+- Category: Evaluation
+- Use when: Use this when product behavior, marketing, documentation, demos, or AI-generated answers may have drifted apart and trust depends on reconciling the promises with current evidence.
+- Prompt: Audit every public or customer-facing promise in [product]. Classify each claim as proven, partially proven, misleading, unsupported, stale, or missing proof using current product evidence. Rank gaps by trust risk, fix the highest-leverage one, and rerun the affected checks. Repeat until no high-risk unsupported promise remains or progress needs approval. Ask before changing production or publishing customer-facing material. Return the inventory, fixes, evidence, and open decisions.
+- Verify: No high-risk customer promise lacks current proof. Every claim has an evidence-backed status, the highest-risk gaps are resolved or approval-gated, and affected surfaces pass the same checks again.
+- Keywords: product promise audit, customer trust, claim verification, evidence based product review, marketing product alignment
+- Related: [The full product evaluation loop](https://signals.forwardfuture.ai/loop-library/loops/full-product-evaluation-loop/), [The recent-feedback sweep](https://signals.forwardfuture.ai/loop-library/loops/recent-feedback-sweep/)
+
+## 033 — [The propagation compliance loop](https://signals.forwardfuture.ai/loop-library/loops/propagation-compliance-loop/)
+
+- Category: Engineering
+- Use when: Use this after changing a version, count, rule, configuration value, identifier, or other state that is duplicated across code, documentation, memory, or operational files.
+- Prompt: After changing a version, count, rule, or configuration, update every affected file. Search for the old value and related stale references; distinguish real discrepancies from intentional history, examples, migrations, or compatibility rules. Fix every confirmed discrepancy and rerun the same searches until zero stale values remain. If the same discrepancy survives two rounds, stop and report what appears to be regenerating it. Return the changes and verification output.
+- Verify: The affected repository contains zero confirmed stale values. The original and related search terms return only intentional matches, and the final search output records why each remaining match is valid.
+- Keywords: configuration propagation, version update audit, stale value search, repository consistency, grep verification loop
+- Related: [The docs sweep](https://signals.forwardfuture.ai/loop-library/loops/overnight-docs-sweep/), [The recent-feedback sweep](https://signals.forwardfuture.ai/loop-library/loops/recent-feedback-sweep/)
+
+## 034 — [The multi-LLM convergence loop](https://signals.forwardfuture.ai/loop-library/loops/multi-llm-convergence-loop/)
+
+- Category: Evaluation
+- Use when: Use this for a specification, plan, design document, code change, or proposed review when genuine cross-model agreement is more useful than one reviewer's opinion.
+- Prompt: Run multi-LLM convergence on [artifact] with [quality bar] and [pass limit]. Alternate two genuinely different model families sequentially. Verify and apply valid above-bar findings, then give the updated artifact to the other reviewer. Converge only after both independently clear the same unchanged version. Stop at the limit, oscillation, unavailable review, or approval-required work; never call a one-model result consensus. Return the artifact, round log, verdict, and disagreements.
+- Verify: Two model families clear the same unchanged artifact. Consecutive clean passes come from different model families, no edit separates them, and any cap, oscillation, unavailable reviewer, or approval gate is reported as a stall.
+- Keywords: multi LLM review, cross model consensus, artifact convergence, alternating reviewers, independent AI review
+- Related: [The Clodex adversarial-review loop](https://signals.forwardfuture.ai/loop-library/loops/clodex-adversarial-review-loop/), [The devil's-advocate loop](https://signals.forwardfuture.ai/loop-library/loops/devils-advocate-design-loop/)
+
+## 035 — [The Goal Forge loop](https://signals.forwardfuture.ai/loop-library/loops/goal-forge-loop/)
+
+- Category: Engineering
+- Use when: Use this when a coding idea is still too ambiguous for long-running autonomous implementation and needs explicit scope, scoring, working memory, verification, and human controls first.
+- Prompt: Turn [rough coding idea] into a /goal-ready execution contract before implementation. Interview until scope, constraints, risks, edge cases, non-goals, and user-approved measurable done_when criteria are explicit. Write SPEC.md, tighten ambiguities, then compile GOAL.md with a scorecard, fast and final checks, working memory, approval boundaries, and evidence requirements. Stop as not ready if any essential decision or environment requirement remains unresolved. Do not run the goal without approval.
+- Verify: SPEC.md and GOAL.md are measurable, runnable, and user-approved. Every done_when item names observable evidence, the scorecard and feedback checks are executable, the environment is ready, and unresolved decisions stop as not ready.
+- Keywords: Goal Forge, Codex goal planning, SPEC.md, GOAL.md, autonomous coding contract
+- Related: [The Codex completion-contract loop](https://signals.forwardfuture.ai/loop-library/loops/codex-completion-contract-loop/), [The ticket-to-PR-ready loop](https://signals.forwardfuture.ai/loop-library/loops/ticket-to-pr-ready-loop/)
+
+## 036 — [The UI/UX Score Loop](https://signals.forwardfuture.ai/loop-library/loops/ui-ux-score-loop/)
+
+- Category: Design
+- Use when: Use this to improve signup, login, onboarding, checkout, create-edit-delete, sharing, or another named product flow that can be exercised in a real browser and judged with a stable rubric.
+- Prompt: Run UI/UX Score Loop on [flow] at [URL] with [completion criterion]. Use a real browser and fresh state for every breakpoint and mode. Capture and score each meaningful view, improve the lowest safe scores, then rerun the complete flow under the same conditions. Keep only regression-free improvements. Stop when the criterion is met, two full passes stall, access is blocked, or approval is required. Return the dashboard and evidence.
+- Verify: The complete flow improves under the same fresh-state evidence matrix. Every retained change raises the selected target without lowering another important view, and the final dashboard records browser, state, breakpoint, mode, scores, screenshots, and stop reason.
+- Keywords: UI UX score, browser flow audit, responsive design review, fresh browser state, user experience improvement
+- Related: [War Loops: frontend reconstruction](https://signals.forwardfuture.ai/loop-library/loops/war-loops-frontend-designer/), [The full product evaluation loop](https://signals.forwardfuture.ai/loop-library/loops/full-product-evaluation-loop/)
+
+## 037 — [The cold-load trimmer loop](https://signals.forwardfuture.ai/loop-library/loops/cold-load-trimmer-loop/)
+
+- Category: Engineering
+- Use when: Use this when a web application ships too many compressed bytes on first load and the initial screen can be protected by repeatable tests, screenshots, and transfer measurements.
+- Prompt: Reduce first-load transferred bytes without changing the first screen. Before deleting anything, establish passing tests, representative screenshots, and a repeatable byte baseline. Treat analyzer findings as candidates. Make one deferral, lazy-load, compression, or removal change; rebuild and rerun every gate. Keep it only if tests pass, screenshots remain pixel-identical, and transferred bytes decrease; otherwise revert. Repeat until no viable candidate remains or attempts stall. Ask before deployment or uncertain dependency removal. Return measurements, changes, and coverage gaps.
+- Verify: Transferred bytes decrease without a covered behavior or pixel changing. The same production-shaped measurement shows a smaller first load, existing tests pass, every representative screenshot is pixel-identical, and any uncertain dependency removal remains approval-gated.
+- Keywords: first load bytes, bundle size optimization, pixel identical screenshots, lazy loading, web performance loop
+- Related: [The sub-50 ms page-load loop](https://signals.forwardfuture.ai/loop-library/loops/sub-50ms-page-load-loop/), [The pixel-safe CSS trim loop](https://signals.forwardfuture.ai/loop-library/loops/pixel-safe-css-trim-loop/)
+
+## 038 — [The pixel-safe CSS trim loop](https://signals.forwardfuture.ai/loop-library/loops/pixel-safe-css-trim-loop/)
+
+- Category: Design
+- Use when: Use this when a stylesheet that ships to users contains likely dead declarations, redundant rules, or order-dependent overrides and the complete visual surface can be captured repeatably.
+- Prompt: Reduce shipped CSS without changing any covered visual state. Before deleting anything, capture a representative screenshot matrix and record built CSS size; treat coverage findings as candidates. Remove one declaration or rule, rebuild, and rerun the full matrix and project checks. Keep it only if every screenshot is pixel-identical and the built CSS is smaller; otherwise revert. Repeat until no supported candidate remains or attempts plateau. Return the reduction, evidence, and uncovered browser or state risks.
+- Verify: Built CSS shrinks while every covered visual state remains pixel-identical. The complete screenshot matrix and project checks pass after each retained deletion, the shipped artifact is smaller, and uncovered browsers or states remain explicit risks.
+- Keywords: CSS cleanup, pixel safe CSS, visual regression testing, dead CSS removal, stylesheet optimization
+- Related: [The cold-load trimmer loop](https://signals.forwardfuture.ai/loop-library/loops/cold-load-trimmer-loop/), [The UI/UX Score Loop](https://signals.forwardfuture.ai/loop-library/loops/ui-ux-score-loop/)
+
+## 039 — [The easy onboarding loop](https://signals.forwardfuture.ai/loop-library/loops/easy-onboarding-loop/)
+
+- Category: Evaluation
+- Use when: Use this when onboarding may contain unclear instructions, hidden assumptions, agent-hostile interactions, or excessive barriers that only appear from a genuinely new session.
+- Prompt: Start [product] from a clean session and complete the entire onboarding flow using only what a new user or agent can see. Record each confirmed barrier, make the smallest improvement that preserves every onboarding, security, access, and product requirement, then discard the session and rerun from the real entry point. Repeat until one uninterrupted fresh pass succeeds, no safe improvement remains, progress is blocked, or approval is required. Return the path, changes, evidence, and blockers.
+- Verify: One uninterrupted fresh session completes onboarding using only provided guidance. The complete flow succeeds from the real entry point without retained state or undocumented repairs, and every requirement remains intact.
+- Keywords: onboarding improvement, fresh session testing, new user experience, agent friendly onboarding, onboarding friction
+- Related: [The fresh-clone loop](https://signals.forwardfuture.ai/loop-library/loops/fresh-clone-loop/), [The full product evaluation loop](https://signals.forwardfuture.ai/loop-library/loops/full-product-evaluation-loop/)
+
+## 040 — [The accessibility repair loop](https://signals.forwardfuture.ai/loop-library/loops/accessibility-repair-loop/)
+
+- Category: Design
+- Use when: Use this when a defined product surface and accessibility target can be checked repeatedly and the highest-impact barriers should be repaired before lower-impact polish.
+- Prompt: Audit [scope] against [accessibility standard] using the available automated and manual checks. Confirm and rank issues by user impact, fix the highest-impact blocker, then rerun the same checks, affected flow, and relevant regressions. Keep only verified fixes and repeat until no confirmed blocker remains, progress stalls, verification is unavailable, or approval is required. Never silence checks or weaken the target. Return findings, fixes, before-and-after evidence, exceptions, and coverage limits.
+- Verify: No confirmed accessibility blocker remains in the agreed scope. The same automated and manual evidence, affected user flow, and relevant regression checks pass after each retained fix without weakening the target.
+- Keywords: accessibility audit, accessibility repair, WCAG workflow, inclusive design testing, accessibility regression
+- Related: [The UI/UX Score Loop](https://signals.forwardfuture.ai/loop-library/loops/ui-ux-score-loop/), [The full product evaluation loop](https://signals.forwardfuture.ai/loop-library/loops/full-product-evaluation-loop/)
+
+## 041 — [The housekeeper loop](https://signals.forwardfuture.ai/loop-library/loops/housekeeper-loop/)
+
+- Category: Engineering
+- Use when: Use this for conservative codebase hygiene when small accumulations of dead code, stale files, unused dependencies, duplication, broken links, naming drift, or confusing structure are slowing maintenance.
+- Prompt: Review [repository] for dead code, stale files, unused dependencies, duplicate logic, broken links, outdated comments, inconsistent naming, and confusing structure. Preserve unrelated and uncertain work. Confirm one low-risk cleanup, make the smallest coherent change, and rerun the existing build, tests, and runtime checks. Keep only verified improvements and repeat until no confirmed low-risk cleanup remains, progress stalls, or approval is required. Return changes, evidence, and deferred candidates.
+- Verify: Only confirmed low-risk cleanup remains, and existing behavior still passes. Every retained change is supported by direct evidence, the relevant project checks pass, unrelated work is untouched, and uncertain candidates are deferred rather than deleted.
+- Keywords: codebase housekeeping, dead code cleanup, unused dependency review, repository hygiene, incremental cleanup
+- Related: [The repository cleanup loop](https://signals.forwardfuture.ai/loop-library/loops/repository-cleanup-loop/), [The docs sweep](https://signals.forwardfuture.ai/loop-library/loops/overnight-docs-sweep/)
+
+## 042 — [The Axelrod subagent arena loop](https://signals.forwardfuture.ai/loop-library/loops/axelrod-subagent-arena-loop/)
+
+- Category: Evaluation
+- Use when: Use this to study whether live reasoning subagents cooperate, retaliate, forgive, exploit, adapt strategies, and preserve pairwise memory under controlled repeated interaction.
+- Prompt: Run a bounded Axelrod-style Iterated Prisoner's Dilemma tournament with two reasoning subagents plus always-defect and always-cooperate anchors: three cycles, six pairings per cycle, and ten rounds per pairing. Hide opponent type and private reasoning, collect simultaneous C/D moves, score deterministically, and persist pairwise histories. Code may validate and score but never choose live-agent moves. Finish only after validating all 18 matches and 180 rounds; return payoff and ecological rankings, reasoning summaries, violations, and the complete record.
+- Verify: All 18 matches and 180 rounds validate against the payoff matrix. Every live move is recorded before scoring, deterministic totals reproduce from the complete history, invalid responses are logged, and partial or invalid tournaments remain explicitly incomplete.
+- Keywords: Axelrod tournament, Iterated Prisoner's Dilemma, multi agent benchmark, agent cooperation, reasoning subagent evaluation
+- Related: [The Boeing 747 benchmark](https://signals.forwardfuture.ai/loop-library/loops/boeing-747-benchmark/), [The full product evaluation loop](https://signals.forwardfuture.ai/loop-library/loops/full-product-evaluation-loop/)