CheckYourself
For AI app builders, CheckYourself runs local challenges to test claimed work, record evidence, and expose risks. Score is not a guarantee.
Check yourself before you wreck yourself — for the apps you ship. Before you launch it, CheckYourself.
CheckYourself is a free, open-source, model-agnostic completion-evidence workflow for apps built with AI coding assistants. It turns any AI assistant — Cursor, Claude, ChatGPT, Gemini, Copilot, Windsurf, Replit, Lovable, Bolt, Codex, or a local agent — into a pre-launch reviewer that inspects your app, records observed and untested behavior, runs verifier-owned challenges, surfaces production gaps, proposes fixes for your approval, verifies local receipts, and writes a learning plan built from the exact gaps your own project had.
Under the hood it is a staged engineering system, not a single canned prompt: an ICM-style context workspace that routes the agent through each stage, an evidence-based 0–100 scoring method with severity caps, verifier-owned challenges across 20 canonical surfaces and 10 scored categories, a 19-capability production-hardening engine spanning auth, data, secrets, CI/CD, observability, privacy, and AI governance, JSON output schemas, report and risk templates, and a public validation suite. You install it as your AI assistant's operating context — no SaaS, no account, no lock-in to any one model.
