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What if your AI product isn’t failing because of the tech, but because of the psychology behind it? Join Ceren Koca and Chaning Jang of Irrational Labs for a behavioral autopsy of failed AI products, and the patterns that predict success. Despite big budgets and long build cycles, many AI features fail at launch. The culprit? Teams optimize for technical impressiveness rather than user psychology. They create magical-feeling interfaces that confuse real people and try to solve problems users don't actually have. Through our work with Silicon Valley teams, we've identified the 7 critical behavioral mistakes that kill AI products before users even try them. In this session, we'll reveal these pitfalls and provide practical strategies to avoid them. You'll walk away with: ✅ The 7 behavioral traps that doom AI products ✅ Real examples of spectacular failures (and what teams learned) ✅ A diagnostic to test your ideas before you build ✅ Behavioral design principles that turn AI features into user favorites This session is for product managers, designers, engineers, and innovation leads building AI-powered tools. ✅ Want more insights on behavioral science and product design? Subscribe to Kristen's Substack so you don't miss the next teardown: https://kristenberman.substack.com/ 📧 Working on a behavior change challenge? We help companies apply these behavioral principles to drive growth and engagement: https://irrationallabs.com 🔎 Or explore our case studies of behavioral science work across sectors ranging from tech and finance to health and education: https://irrationallabs.com/case-studies/ 🎓 Join one of our Bootcamps to start learning behavioral science and apply it to your work and life: https://behavioraleconomicsbootcamp.com