Explore how to create AI products that solve real user problems rather than just showcasing technology. Learn frameworks for balancing automation with user control to build meaningful human-AI partnerships.

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Lena: Hey Miles, I was at this tech conference last weekend where everyone was buzzing about AI products. But something struck me—almost every company was just slapping "AI-powered" on their marketing without actually explaining the value.
Miles: Oh my gosh, yes! That's what the Nielsen Norman Group calls the "powered by AI is not a value proposition" problem. Companies are leading with the technology instead of what it actually does for users.
Lena: Exactly! It reminds me of that old fairy tale, "The Emperor's New Clothes," where everyone's afraid to point out that there's nothing there.
Miles: That's such a perfect analogy. You know, what's fascinating is that adding AI doesn't automatically create value. In fact, research shows that narrowly scoped AI features actually perform better because users understand them more easily.
Lena: I've noticed that too. It seems like the most successful AI products aren't just showcasing the technology—they're solving real pain points that users actually have.
Miles: Right! And there's this interesting framework I came across where designers create what they call "AI Engagement Guidelines" before they even start designing. It helps teams define what the AI should do, what it shouldn't do, and where things might go wrong.
Lena: That makes so much sense. So instead of designing for what the AI will say, you're designing for how users will work with whatever it says?
Miles: Exactly! And that's where human-AI interaction becomes critical. Let's explore the different ways humans and AI can work together, and how to find that perfect balance between automation and user control.