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Ankit Shukla is BACK after his gangbusters episode, that is my #2 most popular of all time. This time he's diving deep on one of the most important new AI skills for PMs: Evals. Whether you're working on AI features now or not, this is a skill you want to have an intuitive understanding of. So I'm building on my library of eval episodes with today's drop. I've never heard someone explain evals from first principles as intuitively as Ankit has with this one. Hope you enjoy! Timestamps: 0:00 - Your AI feature is lying to you 1:17 - What we're covering today 4:30 - Why GenAI products are fundamentally different 5:48 - Building an AI job site (simple eval example) 10:28 - Why 95% of AI prototypes fail to scale 15:02 - The 25x cost mistake most PMs make 19:33 - The chai analogy for non-determinism 22:03 - End-to-end eval flow (full walkthrough) 27:44 - Building your eval dataset (where most effort goes) 35:42 - Evals ARE your PRD 39:27 - Reverse-engineered stock research PRD 45:42 - Setting thresholds that block bad releases 49:03 - Three types of evals you need 53:29 - AB testing prompts in production 57:52 - Real examples: Grammarly, GitHub Copilot, Klarna 1:01:26 - Final takeaway Where to find Ankit: Where to find Aakash: