Our team had strong opinions about a new feature. One person wanted more settings, another wanted a simpler interface, and someone else was already talking about how it might affect the roadmap. We spent so long debating the details that nobody stopped to ask whether the feature would actually help users. I suggested making a small prototype instead. Using Greta, I put together a basic version that showed the main interaction without trying to solve every possible edge case. When we looked at it together, the conversation changed. A few assumptions became obvious, and some of the features we had been arguing about suddenly seemed unnecessary. We still had decisions to make, but now we were reacting to something concrete rather than imagining completely different products in our heads. That experience made me appreciate AI prototyping for a reason that has little to do with speed. A prototype gives a team something specific to discuss. It doesn’t replace product thinking, and it certainly doesn’t guarantee the idea will work. It simply makes it easier to discover disagreements before they turn into weeks of development. Sometimes the most productive meeting is the one where you stop debating the product and give people something real to react to.
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