Why “free to build” doesn’t mean “no cost”How AI prototyping tools help with assumption testingCommon pitfalls (and how to avoid them)Why engineering skills still matter in a no-code worldThe types of prototypes that are perfect for AI toolsHow these tools change team collaboration and speedAI tools can help build usable prototypes in hours—not weeks.These tools are great for fast, interactive assumption tests.You still need engineering know-how to troubleshoot or guide LLMs effectively.Product teams benefit most when they build and test together.Even failed prototypes offer valuable learning.“Even if the cost to build goes to zero, if you keep building the wrong thing, you're still wasting your life.” – Teresa Torres
Follow Teresa Torres: https://ProductTalk.org Follow Petra Wille: https://Petra-Wille.comMentioned in this episode:
Large language model (LLM)ChatGPTClaude (Anthropic API)Teresa’s Continuous Interviewing Course (where she introduced a custom chat interface app, allowing students to interact with a ChatGPT-style tool powered by her own prompts and proprietary data)Petra’s The PMwheel – a Compass for the Product Manager Development JourneyVibe codingTeresa’s Assumption Testing CourseJeff Patton’s drawing of the three people having different pictures in their head about one thingReplitV0.devBoltLovableWindSurf