Prompt evaluation checks whether a model workflow produces acceptable results before it reaches more users or gains more authority. The test set should represent the work the system will actually receive, including difficult and incomplete cases.
Define what a correct result looks like and which failures are unacceptable. Use reviewed examples with expected findings, supported facts and explicit uncertainty. Separate the examples used to improve the prompt from those used to assess the final candidate.
Compare versions on the same cases and record errors by type. Repeat selected tests where variability matters. Include prompt injection and source-conflict cases for workflows using external content, and validate any proposed downstream action independently.
Set release criteria that reflect the consequences of error. Preserve the test inputs, configuration and review conclusions. Continue monitoring after release; passing a limited evaluation does not establish reliability for every future task.
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