Help a team decide whether an agent behavior change is ready for wider exposure. Assign stable request cohorts, compare candidate and baseline error and latency windows, and distinguish insufficient evidence from a failed gate. Export replayable decision receipts and a local shadow adapter that exercises the policy without deploying anything.
Proposed milestones
- Assign stable cohorts and define release signals
- Accumulate comparable baseline and candidate windows
- Apply minimum-sample and stopping rules
- Replay decisions through a local shadow adapter
This is an upstream project brief; an implementation and completion tests are not supplied.