Research-grounded writing pipeline that turns source material into claim-safe drafts for domain-heavy writing tasks.
-
Updated
Sep 11, 2026 - Python
#
claim-safety
Here are 3 public repositories matching this topic...
Clear pain-to-proof map linking Razorglint buyer painpoints to systems, usage paths, tiers, and claim boundaries.
-
Updated
May 13, 2026
Mechanistic Workbench (mwb): Local-first mechanistic interpretability workbench for IPython research, agent-readable state, artifact validation, evidence graphs, claim-safe MechanismCards, provenance, run ledgers, SAE/TransformerLens workflows, and reproducible MI experiments
python jupyter ipython sparse-autoencoders ai-safety sae interpretability experiment-tracking mechanistic-interpretability agentic-workflows llm-interpretability ml-research transformer-lens nshkr-research evidence-graph research-provenance sae-lens claim-safety artifact-validation
-
Updated
Jun 27, 2026 - Python
Add this topic to your repo
To associate your repository with the claim-safety topic, visit your repo's landing page and select "manage topics."