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Most AI problems are really human problems

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Persistent lessons in human-centered automation

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If you can externalize your design process, you can win back your time

How Skill.MD helps you spell out the depth of your work for your team and organizationContinue reading on UX Collective »

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Tetris had to cheat to feel random

Nobody can see a probability distribution. You only ever see a sequence, and sequences are where human intuition falls apart.Continue reading on UX Collective »

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The model is behaving impeccably. Your information architecture isn't

What a 1960 study of city maps explains about AI context.Continue reading on UX Collective »

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The sycophancy trap: what happens when feelings become the metric

A framework for emotional design that survives contact with an engagement dashboardContinue reading on UX Collective »

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Villains plan. Heroes react

What product teams should borrow from the people who want to take over the world.Continue reading on UX Collective »

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AI canvas, Synthetic self, The prompt is the product

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AI in Product teams: In 2026, the growing impact on collaboration

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Reading and writing are interfaces. And AI can reduce their friction

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