.@AnkythShukla made a bold claim on the podcast: "Better than developers, better than designers, better than the CEO and business people, PMs are fundamentally placed in a position that they should be owning the evals. They have the knowledge of the business, of the customer, and of the technology." This is a structural argument, not an opinion. Here is why it matters: > Engineers understand the model. They do not understand the customer's definition of "good output." > Designers understand the experience. They do not understand the technical constraints of non-deterministic systems. > Business leaders understand the ROI. They do not understand what an LLM judge is or how to calibrate one. > The PM sits at the intersection of all three. That is exactly what AI evals demand - someone who can translate business requirements into measurable evaluation criteria, then validate that the AI actually meets them in production. AI evals is not QA testing rebranded. It is a fundamentally new discipline. And PMs are the natural owners. Full episode breaks down the exact metrics, tools, and LLM judge frameworks step by step.