Walk from AI assumption to the right prototype test

The ambiguity The team says “prototype the AI coach,” but the unknown could be usefulness, trust, or workflow fit. Different assumptions require different kinds of realism, so the first branch matters. Prototype logic Assumption first, fidelity second Choose the prototype after you name the learning risk. Otherwise you pay for realism that does not answer the question. Expensive mistake Build a polished prototype before identifying the real uncertainty. The prototype becomes a precise learning instrument instead of a generic demo. Prototype fidelity should be purchased only where the core assumption needs it. Name the risk Step 1 The feature is…

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