Knowing what a user wants is only half the problem. The other half is knowing how, and how much, to respond. This is the third piece in a small series on product design in AI-driven systems. The first article explored how our role as designers is evolving, and the second looked at how signals tied to user intent shape AI-powered experiences. This one builds on that foundation, moving from understanding intent to deciding how a system should show up in response to it. If you haven’t read them, no worries. I’ll bring you along. Press enter or click to view image in full size In the last piece, I talked about how signals help us understand what users are trying to accomplish, grounded in their Jobs to Be Done (JTBD). Even as generative capabilities expand, users still have real outcomes they’re working toward. Getting the signals right lets systems not only figure out what to generate, but when to adjust or pull back. That thinking assumes something, though.…