Project overview
Use this methodology to turn an AI initiative into a measurable, stage-gated plan that can stop before expensive product work begins. It decomposes capabilities, ranks risks, isolates one major variable per stage, defines human validation and acceptance metrics, and sets explicit pass, fail, and stop-loss conditions. The central rule is to prove the core AI capability before building the surrounding platform, interface, database, or automation.
Repository facts
- Primary language
- Not detected
- License
- MIT
- Repository updated
- Jul 1, 2026
- Default branch
- main
Resource types
General skill
Use cases
Project and product management
Platforms
Claude Code, Codex, and more
Capabilities
Verification and evals