"What's coming into sharper focus isn't fidelity, it's foresight. Part of the work of Product Design today is conceptual: sensing trends, building future-proof systems, and thinking years ahead. But besides the current momentum, we still have to focus on real problems that bring real value as of now. This balance is sometimes challenging, but also creates opportunities to reform our thinking and approaches."
"AI agents are users, but not humans. Designing for them requires new UX abstractions. 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 reshaping design practices beyond software, shifting emphasis from pixel-perfect fidelity to anticipatory foresight. Product design increasingly requires conceptual work: sensing trends, building future-proof systems, and thinking years ahead while still solving immediate, valuable problems. Designers now must account for AI agents as embedded collaborators, creating experiences for both humans and programs. Agents parse, tokenize, and operate on pattern recognition, context, and probability instead of feeling. Interfaces must therefore include structured data, semantic HTML, accessible roles, predictable metadata, and clear context so that they remain both intuitive for humans and unambiguous for machine readers.
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