What should an AI SRE reviewer need before trusting an autonomous run?

[camirian]

I am looking for a hard review objection, not promotion.

I am testing a small synthetic evidence-gate contract for autonomous coding runs. The narrow claim is: a trace or verifier result can show what happened, but a reviewer still needs a bounded trust decision before accepting the run.

The public sample includes accepted, rejected, escalated, blocked, and vague-intent runs. The fastest review path is here:

https://github.com/camirian/agent-evidence-recorder

From an AI SRE or incident-review perspective, would this make automated work easier to inspect before trust is granted, or would it just add artifact noise?

One concrete objection would be useful.

[camirian]

Brief follow-up with a narrower review target.

I added a seven-minute PR-review fixture request so this is less of a broad project ask:
https://github.com/camirian/fieldheld-recorder/blob/main/docs/PR_REVIEW_CRITIQUE_REQUEST.md

The concrete artifact is a deterministic GitHub PR review bundle:
https://github.com/camirian/fieldheld-recorder/blob/main/samples/fieldheld-pr-review-sample/reviewer_packet.md

Core question: would this reduce PR review burden, or does it add noise? If it adds noise, what is the first unsupported, noisy, or missing field?

If this is not relevant here, no need to respond; I will not keep bumping the thread.