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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 the gap between automating transactions and maintaining human relationships, asking whether AI can finally handle the logistical friction that keeps us from showing up for each other. Julie Zhuo argues that AI’s real potential lies in managing the unglamorous work of social bonds, while …
We’re asking whether intelligence is a destination we build or a capability we weave into existing work, a question Dan Maccarone answers by arguing that standalone AI apps are a trap that fails to create lasting habit. This tension between novelty and utility is mirrored in our community discussio…
We’re producing more output than ever, yet we’ve confused activity with progress, a gap Mathieu Poli highlights by showing how AI defaults are eroding our creative distinctiveness just as Jeff Gothelf argues we need to validate hypotheses before we build. This episode cuts through the noise of &quo…
We’re asking why our organizations are failing at AI adoption despite having the tools, arguing that the real friction lies in a cultural gap where staff see higher expectations rather than better working conditions. Paul Boag and Kate Agena highlight how ignoring personal benefit and treating know…
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