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Product sense with an AI on screen — and product sense about AI
Two new PM rounds share a name. In one, you run an ordinary product-sense case with an AI assistant open and your screen shared, and you're graded on your judgment about its output. In the other, there's no tool at all — the product is an AI product, and the case adds model limits, cost and safety to everything you already do. This lesson covers both.
What you'll be able to do
- Run a product-sense case with an assistant on a shared screen without handing it the decisions
- Use the assistant for bounded gap-filling, and say out loud what you kept and what you threw away
- Add the AI-specific layer to a classic case — capability limits, cost per use, latency, safety and misuse
- Choose bets that fit a hard constraint, like three engineers and three months
Before this: product-sense, what-changed
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Two new PM rounds share a name. In one, you run an ordinary product-sense case with an AI assistant open and your screen shared, and you're graded on your judgment about its output. In the other, there's no tool at all — the product is an AI product, and the case adds model limits, cost and safety to everything you already do. This lesson covers both. This walkthrough runs about 16 minutes, with runnable code you can edit and re-run as you read. A new account gets 7 days of Pro free, no card required.
Log in to continueThe first module of every track is free to read on the web: see what's open in AI interviews.