"As AI agents become embedded collaborators in our systems, designers face a powerful and pressing question: Who are we designing for now? Suddenly, we find ourselves in the middle of a new Experience dilemma: designing for both people and programs. That means exploring new personas and reconciling different approaches: emotional intuition, logical execution, and the coherence of both. Let's have a look at the pitfalls of this dilemma and explore what we have to consider while designing for both humans and machines."
"Product Design 101 is all about understanding human experiences: how something feels, how intuitive it is, how it delights. But agents don't feel. They parse. They tokenize. They operate on pattern recognition, context, probability, and strict interpretation. Designing for agents means building interfaces that are accessible and intuitive but speak clearly to non-human readers. Think structured data, semantic HTML, accessible roles, predictable metadata, and context."
AI is rapidly transforming product design, moving emphasis from pixel-perfect fidelity to foresight and future-proof systems. Designers must sense trends, build scalable systems, and think years ahead while solving present problems that deliver immediate value. The emergence of AI agents creates a dual user base of humans and programs with different needs. Agents parse input, tokenize, and operate on pattern recognition and probability, requiring strict, predictable structure. Interfaces must remain intuitive for people while providing structured data, semantic HTML, accessible roles, predictable metadata, and clear context for agents. Balancing emotional intuition with logical execution is a core design challenge.
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