AI Reports
AI Reports (project navigation) shows what the agents did in this project, what it cost and who signed it off.

| Tab | What you see |
|---|---|
| Overview | Spend against budget, runs, artifacts created, tasks done, estimated time saved; spend by agent and by model; spend over time; artifacts by type. |
| Agents | A scorecard per agent and its recent runs. |
| Oversight | First time right per agent (from send-backs), how long approvals waited, writes per tool. |
| Coverage | A heat map of document chapters × design / code / test coverage. Gaps can be turned into a task for a hired agent. |
| AI audit | Every item an agent created or changed — see below. |
AI audit
Section titled “AI audit”
The audit lists every AI-generated work item with:
- the agent and model, the run that created it and later runs that changed it,
- the task it was produced for,
- the review: approved by whom and when, awaiting review, or sent back.
Each run also shows the memories that shaped it (🧠 PU-…).
Below the list:
- Project memories — every lesson with who it is for, where it was learned, who proposed it, who approved or discarded it and when, and how many runs used it.
- Agent runs in sandboxes — each run in an isolated sandbox with the commands it ran, web pages it read, pushes, and its budget cap.
Use Export CSV for spreadsheets or Print / PDF for an audit file.