Too many teams are building AI applications without truly understanding why their models fail. Instead of jumping straight to LLM evaluations, dashboards, or vibe checks, how do you actually fix a broken AI app?

In this episode, Hugo speaks with Hamel Husain, longtime ML engineer, open-source contributor, and consultant, about why debugging generative AI systems starts with looking at your data.

In this episode, we dive into:

If you're building AI-powered applications, this episode will change how you approach debugging, iteration, and improving model performance in production.

LINKS