An approval should describe the exact change.
A compact review record for the target, allowed effect, evidence and expiration, with an illustrative support-ticket example.
Open the action review template ↗A field guide to dependable AI
Move from a demo
to evidence.
Engineering notes for teams putting AI agents into real workflows. Start with the action, its authority and the record that proves what happened.
ISSUE 01 / RELEASE EVIDENCE /
Action review pathIllustrative model / 01
- 01Define the intended changeSCOPE
- 02Bind approval to the actionAUTHORITY
- 03Observe the downstream resultEVIDENCE
- 04Resolve or hand overRECOVERY
AI agent engineeringHuman reviewIdempotent operationsRelease evidence
01 / The reading room
Two templates for the review desk.
Use these guides before an agent can change business records or a delivery team treats an ambiguous response as a completed task.
A lost response leaves a question to resolve.
Separate a tool timeout from the business outcome. Trace the original operation before retrying a write.
Open the unresolved-operation template ↗02 / A working checklist
What will the reviewer inspect?
Select an item only when you can point to its artifact. The list tracks evidence coverage. It does not measure system safety or grant production approval.
For teams defining these boundaries, Pharos Production's AI agent development services describe agent integration, evaluation and operational controls. This checklist is a separate editorial aid, not proof that a particular system passed those controls.
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0 of 5 evidence items selected
Keep the release in review. Add an artifact for every unchecked item.
Published by the people
behind the company.
This is a Pharos Production resource for engineering leads and product teams. Examples are explicitly illustrative. Company service pages establish service scope, not independent validation of an implementation.