Lifan

Staff Engineer @ Google · local-first products · agent systems · agent evaluation · self-improving agent harnesses

Main focuses · Selected builds · How I build

Main Focuses

Local-first products Useful tools that keep personal data and decisions close to the user.

Agent systems Durable workflows, tools, and control surfaces for coding agents.

Agent evaluation Evidence, benchmarks, and review loops that make capability visible.

Self-improving harnesses Agent infrastructure that learns from its own work without hiding the trail.

_{Build principle: evidence → local control → human review → shipped artifact.}

Selected Builds

Flying Pig AI Supervised AI customer-service advocate that pauses at structured decision checkpoints before consequential actions.	mychart-cli Public local-first CLI for exporting patient-owned MyChart records through a Chrome/Puppeteer harness.
Perks Reminder Open-source benefits tracker for welcome bonuses, annual fees, recurring credits, certificates, and loyalty expirations.	FreshPowder Ski and snowboard deal aggregator tracking current and historical deals across North American retailers.
CastForge Source-to-podcast automation framework with reusable pipeline stages, audio integrations, publishing, and validation.	Nitan Podcast Weekly Chinese podcast generated from USCardForum discussions and shipped through RSS and podcast platforms.
Context Harness Tiny filesystem memory layer for coding agents: durable context files, companion skills, and local scripts.	Agent Nexus Manifest-driven deployment of skills, hooks, and MCP servers across modern coding environments.
CPA Phoenix RECENT CLIProxyAPI plugin for igniting fresh Codex accounts and supervising invalid-account recovery through a preserved repair queue.	AI Builder Brief RECENT Source-linked AI developments turned into evidence-gated review artifacts, with the public feed held closed while editorial policy is tuned.
Continuity LOCAL · IN PROGRESS Workflow, evaluation, repair, checkpoint, and human-gate control plane for a local agent-first research system.	OpenMuseCall LOCAL · IN PROGRESS Open, supervised calling agent prototype for authorized Mac-to-iPhone cellular calls, with explicit control and safety gates.

How I Build

source → build → evaluate → inspect → improve → ship

_{I run an evaluation loop: turn the goal into a repeatable check, inspect failures and evidence, improve the system, then run the check again before shipping.}

_{Claude Code and Codex are my primary agent tools. I use shell, browser, test, and review tools around them, with Trellis as the primary framework for my agent harnesses.}

_{I care about systems that leave a trail: what happened, what was proposed, what a person approved, and what finally shipped.}

Tools I Reach For

More about the portfolio

The through-line is practical automation with visible boundaries: local data when it should stay local, source trails when decisions matter, and human checkpoints before consequential actions.

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