Mehedi Hassan

Production AI Features Need Feedback Loops, Not One-Shot Prompts

Mehedi Hassan, a product engineer at Granola, argues that the hard part of shipping AI features is not getting a model to work once in a demo, but making its behavior reliable and inspectable in production. Using Granola’s meeting-notes app as the case, he says web search, chat, and prompt personalization quickly expose costs, context limits, provider instability, and role-specific user expectations that a single prompt cannot absorb. Granola’s response, in his account, was to build feedback loops: internal tracing, broadly usable debugging tools, and faster ways to test product variants before shipping.