Applied AI
What should an AI pilot prove?
Value, feasibility and risk need to be tested together; model accuracy is only one measure. An AI pilot must show how its output can be used in a real workflow. This article examines baseline selection, test scenarios and the recording of limitations. Evaluating answer quality, operating cost and human-review needs grounds continue-or-stop decisions in evidence and distinguishes a convincing demonstration from readiness for everyday operation.
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