Product & Project
AI Product Management
6 practice questions. Free questions open a full answer guide; the rest unlock with Pro.
- You're shipping a feature built on a large language model, and the team asks how you'll know if it's good enough to launch. How do you define and measure success for a non-deterministic AI feature?
- You're launching an AI feature where the model is right most of the time but sometimes confidently wrong. How do you design the product around that uncertainty so users trust it?Go Pro
- Your AI feature sometimes produces confident but wrong answers. As the PM, how do you handle hallucinations in the product?Go Pro
- You need a model behind a new AI feature. How do you decide between a foundation-model API, an open-weights model you host, and fine-tuning your own?Go Pro
- You're shipping an LLM-powered feature. How do you define what 'good' looks like and measure quality before and after launch?Go Pro
- You need a core AI capability in your product. How do you decide between using a foundation-model API, fine-tuning an open model, or building your own — and how do you manage the dependency risk of that choice?Go Pro
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