MCAF: ML/AI Delivery

Trigger On

• the repo contains model training, inference, experimentation, or data-science workflow
• ML work needs explicit process, testing, or responsible-AI guidance
• delivery discussion is mixing product, data, and model concerns

Value

• produce a concrete project delta: code, docs, config, tests, CI, or review artifact
• reduce ambiguity through explicit planning, verification, and final validation skills
• leave reusable project context so future tasks are faster and safer

Do Not Use For

• generic software delivery with no ML or data-science component
• loading all ML references when only one stage is active