AI tools are now embedded across almost every stage of product design. We use AI to generate ideas, summarize research findings, explore visual directions, write UX copy, and even ship working prototypes. Yet despite widespread adoption, many teams still struggle with a key question: How do you integrate AI into the design process without weakening design quality?
If you've used an AI product recently, you probably know that the technology is incredible. The UX? Not so much. Maybe you've gotten comfortable writing prompts or using simple one-click tools. But as AI interfaces start to take different forms, many of them are still kinda hard to figure out. Navigating them can be overwhelming. It doesn't feel like you're using these products so much as deciphering them. The engineering is powerful, but the flows don't make sense.