AI Prototype Development: Test One Risky Interaction First
An AI prototype is valuable when it answers a question that screens and planning cannot. Choose one risky interaction and test it with the people who would use the product.
Choose the Risk, Not the Feature List
The risk may be whether users understand a generated answer, whether they provide enough context, or whether a suggestion changes a decision. Keep the prototype small enough to learn quickly and connect it to AI startup validation.
Decide What Evidence Matters
Define what users must complete, what feedback will change the plan, and when a human should step in. If the risk is technical, a scoped AI proof of concept may be more appropriate than a polished prototype.
Test the uncertain interaction before the full build
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What should an AI prototype test?
It should test the interaction with the most uncertainty: user trust, input quality, output usefulness, or recovery.
