{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Grown Up Product: How Post-PMF Companies Build Durable Product Organizations","title":"Chris Kincanon on Process, Standards & AI in Product Development (Part 2)","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/219da2f3\"></iframe>","width":"100%","height":180,"duration":1558,"description":"Episode SummaryIn this episode of Grown Up Product, host Brian continues his conversation with Chris Kincanon, fractional CTO and co-founder of Ready Steady. Part two dives deeper into the practical realities of AI in product development, the dangers of firefighting culture, and how leaders can translate technical problems into language that resonates with executives.\nKey Topics Discussed:\n\nThe \"World's Best Prompt\" FallacyWhy \"act as the world's best [role]\" prompts don't deliver expert-level outputAI-generated UI/UX yields decent starting points, but not differentiationThe 90% problem: AI handles the easy part, but the last 10% is where products succeed or failMark Cuban's \"trillion dollar solo founder\" prediction and why it doesn't match realityKnowing What Good Looks LikeIf your product is simple enough to build entirely with AI, expect immediate competitionAI moves toward average: fine for some apps, but average won't command premium pricingUsers need easy, usable, flexible products; AI struggles to deliver the nuance that earns loyaltyThe litmus test: \"Is this what you really want to launch with?\"The 1% Better FrameworkWhy perfectionism kills momentum: aim to beat current state, not achieve 100%Incremental investment: be 1% better, then raise the bar over timeAgile \"the good parts\": continuous improvement without analysis paralysisFounders often have a perfect image but no roadmap to get thereThe KPI TrapWhy round-number targets (90%, 95%) are often arbitrary and misleadingThe real work: finding the actual breakeven point (92.76%, not \"about 90%\")AI creates false confidence in determinism: people assume 100% accuracy is achievableThe chatbot accuracy test: \"If someone was wrong 1 out of 8 times, would you keep them?\"B2B Feedback and the Product MindsetBusiness partners come with solutions; product leaders dig for problemsThe danger of knee-jerk feature requests that create duct-tape architecturesReversing conversations: asking questions, driving downward to...","thumbnail_url":"https://img.transistorcdn.com/D7sn1m4WWwCtjk8ZTDOcoE8Vd0WqsrRJgZ81fJ_y9-s/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lZDll/ODRmYjIyMTUxZWMz/ZjE3ZWIyMjZkMTU0/MjMyNy5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}