Product Thinking With AI Tools

The most interesting use of AI tools is not raw generation. It is using them to keep more of the product problem visible at once.

That can mean comparing user journeys, stress-testing product requirements, mapping edge cases, or turning vague technical uncertainty into a list of experiments. The value is less about replacing taste and more about increasing the number of thoughtful iterations before committing to a direction.

The trick is to keep the loop grounded. Good inputs still matter: concrete context, constraints, examples, and a clear bar for what would count as useful.