Review AI software work with evidence, policy context, human approval, and a traceable record.
Review Runs bring intake, evidence, policy, risk, verification, approval, and merge recommendations into one controlled inspection surface.
Enterprise inspection surface: these Review Runs are the first AI Work Ledger v2 records. Review status shows where a review is in the safe processing lifecycle.
Review and recommendation only. Demo data is simulated; stored summaries remain read-only. No live execution, repo access, GitHub posting, automatic merge, or production persistence is enabled, and verification may be draft or simulated.
Human approval remains the decision boundary. Check and comment output are previews, and future GitHub actions remain not live in this product surface.
Read-onlySafe summaryLatest 25
Review control lifecycle
From intake to traceable record
Each stage preserves the difference between observed evidence, system recommendation, draft decision, and human approval.
01
Review intake
Receive a safe work summary and bounded change context.
02
Collect evidence
Assemble report, test, policy, and preview signals.
03
Evaluate policy
Apply RepoBrain controls and required review flags.
04
Classify risk
Derive risk and lifecycle status deterministically.
05
Verify
Mark evidence passed, draft, incomplete, or needing review.
06
Human approval
Require an explicit human decision before merge.
07
Recommend
Produce a non-executing merge recommendation.
08
Record
Link the safe result to Work Record and Ledger foundations.
Derived workspace summary
Current review posture
Metrics are derived from the currently available safe summaries or deterministic demo records.