AI Engineer · October 12, 2026

Outcome-graded agents: make completion criteria explicit and inspect the grader

video Model Evaluation Agent Security AI Engineering

Outcome-graded agents: make completion criteria explicit and inspect the grader video thumbnail

Why it matters

The Managed Agents research-desk workshop turns a requested deliverable into an explicit rubric and an iterative evaluation loop. Anthropic’s documentation describes a grader with a separate context window, per-criterion feedback, and events for inspecting the result. Separating the grader’s context can reduce direct influence from the worker’s reasoning, but a satisfied rubric still does not establish that every fact or source in the artifact is correct.

My takeaway: Write observable criteria and test the rubric against deliberately incomplete, unsupported, and misleading artifacts. Inspect grader explanations and final files, and retain an independent check for important facts. Keep sensitive data out of a sample research workflow.

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