In part two of this prototyping series, Justin Davis and Greg Ross-Munro focus on what happens after you build the prototype: getting meaningful feedback, iterating with intention, and knowing when something is ready to move toward production. They explain how to run effective feedback sessions without getting distracted by surface-level opinions, why mental models matter more than button placement, and how fidelity should increase alongside certainty. The conversation also tackles a modern challenge: when AI-built prototypes blur the line between experiment and product, and how to decide when to bring in professional help.