Human Sign-off Queue for AI Changes

Review AI-written changes as intent checklists, not raw diffs

Problem

Delegating implementation to coding agents speeds delivery, but the human burden of understanding changes stays. Teams still read line-by-line diffs and struggle to tell whether a change matches product intent or covers edge cases. Existing tools focus on code-level review, not intent-and-risk review.

Solution

The tool turns each agent-produced change into a product-language checklist: which user-visible behaviors changed, which pages/APIs are affected, which edges are uncovered, what manual verification is needed. Reviewers approve or reject with a reason, and the decision is written back into the agent's context.

Users

Small product teams delegating implementation to AI, solo devs, non-technical founders

MVP

GitHub PR hook that auto-generates an intent-level checklist; per-item risk scoring highlighting manual checks; one-click approve/reject with structured reasons; write decisions back to the coding agent; keep a history of prior decisions

Revenue

Per-seat subscription ($12-25/user/mo); cheaper one-time tier for solo devs; white-label review layer for agent vendors

Why now

Agent-written code is moving from individuals to team workflows, and whoever productizes the human sign-off step owns the team entry point