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We explore the uncomfortable gap between AI’s ability to simulate average users and its failure to capture the "bad days" that drive innovation, a limitation highlighted by MeasuringU’s finding that digital twins systematically inflate satisfaction scores. While Luke Wroblewski details ho…
We’re asking whether the line between designing and building is actually dissolving, or if we’re just shifting the burden of coordination onto product managers who were never hired for it. Nil Thyrion argues that design is becoming the primary differentiator as code generation gets easier, while Je…
We ask why designers are still essential when AI can generate code in seconds, arguing that the answer lies in judgment rather than execution. Fabricio Teixeira and Nick Babich highlight how taste and decision rights are becoming the primary differentiators against AI’s sameness, even as tools like…
We ask whether treating AI as a shortcut for user research trades necessary depth for speed, noting that while synthetic users match broad conclusions, they miss the natural variation that reveals edge cases. Rachel Banawa’s work on homogenized AI responses contrasts with Wira Indra Kusuma’s argume…
We explore why repetition feels so comfortable, from Luke Wroblewski’s argument that intelligence is built on simple, repeated blocks to Dora Czerna’s warning that professional competence can trap us in stagnant routines. This tension between building a foundation and hitting a ceiling is mirrored …
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