<!-- Monthly AI quality and cost report · from Chapter 28 of The Product 360 Handbook -->

# AI quality and cost report · [Product] · [Month]

**Prepared by:** [Product ops]   **Reviewed in:** [Ritual, date]   **Sources:** [eval harness run IDs, usage and cost report period]

## Eval scorecard
| Capability | Eval type (capability / regression) | Tasks | Pass rate | pass@k or pass^k (k = ) | Change vs last month | Grader type |
|---|---|---|---|---|---|---|
| | | | | | | |

## New failures added to the suite
| Failure | Source (incident, ticket, transcript) | Added as task ID |
|---|---|---|
| | | |

## Outcome and cost
| Use case | Successful outcomes | Cost per successful outcome (p50 / p90) | Cache hit rate | Model fit notes | Trend |
|---|---|---|---|---|---|
| | | | | | |

## Margin
Gross margin impact this month: [value and change]. Main driver: [one sentence].

## Transcripts read
[Number read, and the one pattern worth discussing.]

## Decisions requested
1.
2.