What does it take to bring cutting-edge AI to over 100 million users - and actually make it useful? In this fireside chat, Notion’s Tian Jin and Cerebras’ Angela Yeung go behind the scenes on building practical, production-ready AI that feels magical but works at scale.

They’ll explore how Notion approaches critical product decisions like when to fine-tune a model, how to evaluate quality across different models and agentic pipelines, and what “vibe working” looks like for the next generation of productivity tools. You'll get a behind-the-scenes look at Notion’s AI stack - from how model routing frameworks help match the right model to the task, to where fast inference from Cerebras enables instant, more responsive user experiences. This conversation is for builders who care about delivering great AI experiences: real systems, real trade-offs, and a building AI with an intense focus on delivering the best possible user experience at scale.