Does a high score on a schedule task pack show a model is ready for live use?

**Does a high score mean the model is ready for live use?**

No. A score tells you how the model performed on those generated tasks, with that tooling and those policies. It is useful evidence about specific skills. It does not by itself say how the model will behave in a particular company's systems.

**What does a score support?**

- Comparing two model versions on the same tasks and seeds. - Finding which step types fail most often, such as approvals or rounding. - Tracking whether a training change improved or harmed schedule handling.

**What should be added before drawing wider conclusions?**

- **Held-out variation:** run tasks with new seeds, domains and amounts to see whether performance holds. - **Your own policies:** load your product rules into the environment and rerun. - **Failure review:** read the failed episodes, since a few wrong expected answers can distort a total. - **Escalation behaviour:** check the rate of unnecessary escalation as well as errors, since a model that refuses everything can look safe. - **Side-effect checks:** confirm no unrelated records changed.

**Who decides acceptance?**

The buyer. MirrorFirm provides generated material and grader specifications; the thresholds that matter for your deployment are yours to set, ideally before the first run so they are not shaped by the results.