An AI answer can be convincing and still miss the point.
When I build with AI, I treat the output as the start of a discussion. I question the approach, ask for alternatives and check it against the problem I'm trying to solve.
A solution can work technically and still be too complex for the need, difficult to maintain, or disconnected from what users actually need.
That's where product experience matters: deciding which trade-offs are worth making, what needs testing and when a simpler approach is the better choice.
My technical background helps me understand and challenge what AI produces. My experience in product management helps me connect those choices to priorities, constraints and outcomes.
For me, working well with AI means staying actively involved in those decisions. I can delegate parts of the work while remaining accountable for what I accept and move forward with.
When you work with AI, what makes you challenge an answer that looks convincing?
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