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UX for AI

Read these first

Find out how to stop building where the data is bright and start building where the problem actually is.

Article by Núria Badia Comas
Stop Building Streetlamp Models: The Decision-First Framework for AI Products
  • The article reveals that most AI projects fail because teams focus on what’s possible instead of what users actually need.
  • It introduces the AI-Question Framework, asking three key questions: Does it matter? Do you have the data? Can you handle the mistakes?
  • The piece concludes that successful AI products start with the right question, not with what the AI can do.
Share:Stop Building Streetlamp Models: The Decision-First Framework for AI Products
5 min read

The “3-in-a-box” era is dead. In an AI-first world, hand-offs kill products — only Snowball teams that build, test, and code together will survive.

Article by Greg Nudelman
Snowball Killed the Dev-Star: Stop Handing Off, Start Succeeding in the AI-First World
  • The article calls for the “Snowball model”: cross-functional teams building, coding, and testing with real users together from day one.
  • It argues that in AI-first UX, “design is how it works” — requiring designers, PMs, and devs to collapse silos, share ownership, and even code collaboratively.
Share:Snowball Killed the Dev-Star: Stop Handing Off, Start Succeeding in the AI-First World
11 min read

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