Designing for AI: Why Human Interaction Matters More Than the Technology
Summary
The article argues that successful AI products depend more on thoughtful human-AI interaction design than on raw technical stack considerations. Jonathan Deragon outlines a multi-layered approach to AI literacy—technical, advancement, application, and impact—to help teams translate capabilities into usable interfaces. The piece emphasizes deep user research, careful orchestration of multimodal inputs, and early collaboration between designers and developers to avoid implementation friction. It urges organizations to maintain specialized design expertise while raising design literacy across teams and offers UX audit and DCX consulting as practical next steps.
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