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AI Workflow Evaluation Notes

A template for defining quality criteria, error categories, review thresholds and fallbacks.

Set evaluation criteria before releasing an AI-assisted workflow. Decide what good, incomplete, unsafe and uncertain outputs look like before the system reaches a real user.

Describe the target task and baseline.
Build a representative evaluation set.
Track key error categories.
Define human-review thresholds.
Document cost, privacy and fallback behavior.

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