Release System detail
AI agent evaluation tests whether an agent can perform the intended task, stay grounded, use tools correctly, comply with policy, refuse or escalate when needed, and keep passing meaningful cases as the system changes.
Plain-language definition
AI agent evaluation tests whether an agent can perform the intended task, stay grounded, use tools correctly, comply with policy, refuse or escalate when needed, and keep passing meaningful cases as the system changes.
Example before the midpoint
| Field | Example |
|---|---|
| Task success | Did the agent complete the intended workflow? |
| Groundedness | Did it stay within provided facts and sources? |
| Tool use | Did it call the right tool with the right boundaries? |
| Policy compliance | Did it refuse, redact, or route sensitive cases? |
| Regression | Did recent changes break previously passing cases? |
Failure modes
The release misses failure cases that are predictable in real operation.
Pre-release success does not translate to the workflow's intended context.
The release decision becomes a debate instead of an evidence review.
The same failure can recur because learning never reaches evaluation.
Measures of effectiveness