Adding an AI feature to your product is not a strategy. The right question is whether AI removes a clear bottleneck for users — research, summarisation, generation, decision support — or whether it is being added because it sounds modern.
AI is most useful when it compresses time. If users currently spend hours doing something the model can do reliably in seconds, you have a real product opportunity. If users only need AI occasionally, a button is enough — not a copilot.
AI is least useful when accuracy is critical and the cost of being wrong is high. In those cases, the right pattern is AI-assisted, human-confirmed workflows, not full automation.
Designing for AI also means designing for confidence. Users need to understand what the model did, why, and how to override it. That is a UX problem more than a model problem.