Before production: how to evaluate an AI prototype
A practical framework for defining the decision context, evaluation evidence, failure modes, human review, and release boundary before a prototype is treated as dependable.
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Applied AI analysis with explicit evidence boundaries.
Original technical articles and method notes about evaluation, reproducibility, provenance, human oversight, and the path from an AI prototype to a responsible system.
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