EPISODE 27: Ankur Goyal joins Founder Mode to show how real teams get from AI prototype to production: build a two-click loop from user complaint to eval, treat observability as a driver of quality, and design iteration environments that connect production logs back to tests. Ankur explains why LLMs behave more like databases than CPUs, how to avoid eval fatigue by curating the 5–10 examples that matter, and why top teams re-evaluate model choices monthly. He also looks ahead to agents that can review and improve other models’ work, turning today’s manual feedback loops into scalable systems.
