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Free Lesson
Understand How AI Work as a PM (part 3): Agents, and Evals
45 min
Nov 15, 2026 12:30 PM
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What you'll learn
Understand what makes an AI agent different from a chatbot
See how agents use an LLM, tools, memory and a loop to finish multi-step tasks, and when you need one.
Learn how to design and scope an agent as a PM
Break a use case into goals, tools, guardrails and human checkpoints to write clear agent requirements.
Build an eval strategy that tells you if your AI is good
Define what good looks like, build test cases, and pick code checks, LLM-as-judge or human review.
Why this topic matters
Most PMs use AI every day without knowing how it works, so they overpromise, misjudge risks and struggle to talk with engineers. As AI moves into every product, that gap gets costly. Knowing how LLMs work, why they hallucinate and what it takes to build an LLM-based system helps you pick the right use cases, set realistic expectations and make better calls on cost, quality and safety. This session gives you that foundation in 45 minutes.
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