"This balance is sometimes challenging, but also creates opportunities to reform our thinking and approaches. 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."
"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 design workflows from pixel-perfect mockups to instant, vibe-based prototyping and new toolchains. Product design now requires foresight: sensing trends, building future-proof systems, and planning years ahead while still delivering immediate value. Designers must balance conceptual long-term thinking with solving present, real problems. AI agents function as embedded collaborators that parse, tokenize, and interpret data rather than feel, creating a need for new UX abstractions. Interfaces should prioritize structured data, semantic markup, accessible roles, predictable metadata, and clear context so both humans and agents can interact coherently.
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