Run automated AxonFlow acceptance tests, operate the local UI in a real headless browser, capture visible evidence, and record every requirement as passed or failed. Use after coding changes, for workflow UI regression checks, and whenever HTTP-only checks cannot verify rendered or interactive behavior.
Inspect the current AxonFlow repository and runtime, identify evidence-backed product gaps, and turn the highest-value gap into one bounded implementation task. Use for product health reviews, self-optimization runs, backlog proposals, and deciding the next improvement before coding.
Review an AxonFlow product task before coding, validate evidence, value, scope, safety, and testability, then approve it, refine it, request product rework, or stop. Use as a Supervisor quality gate between product analysis and implementation and after implementation or testing results.