Product discovery is essential in developing products that meet user needs, and the process has evolved significantly with the introduction of AI. It involves assessing four key risks: desirability, viability, feasibility, and usability. Desirability remains unchanged; understanding customer needs still requires direct human interaction. However, AI has transformed feasibility, making it easier to prototype and test ideas. For instance, what once took weeks can now be accomplished in hours, as demonstrated by the author’s experience building a project called Tapestry in just a few hours. The article emphasizes that while AI streamlines the processes of feasibility and viability, it necessitates a greater focus on desirability. The author spends more time engaging with users to gather insights, as AI tools aren't a substitute for real human feedback. Prototyping has shifted from a staged approach to a more integrated model where products can be tested in a live environment, allowing for rapid iteration based on real user data. The core question has shifted from “Can we build this?” to “Should this exist?” This reflects a fundamental change in how products are developed, prioritizing user insight over mere technical feasibility.