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AI-OUTPUT-EVALUATION5 MIN READ

Ask What Evidence Would Change Your Mind

Use disconfirming evidence to test whether an AI recommendation is robust enough to act on.

It is easy to ask, "Does this answer make sense?" It is harder, and much more useful, to ask, "What would make me change my mind?" > Good review looks for the edge of the answer. Make The Answer Falsifiable If the AI recommends option A, do not only collect reasons option A could work. Ask what evidence would make A a poor choice. That could be a contradictory source, a missing number, a policy exception, a customer segment, or a timing constraint. This turns review from taste into inspection. Test The Boundary Conditions Generated answers often make a coherent…

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