Expert Annotations

Model behavior should be grounded in expert-reviewed data, and abstracted into generalized rulesets.

Expert annotations are the bridge between a model's generic capabilities and the last-mile judgment required for a specific task. They give teams a concrete way to inspect model behavior, capture expert corrections, and turn repeated review into better system behavior over time.

Use this section when you need to decide who should review model outputs, what each annotation should contain, and which cases are worth spending expert time on.

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