A practical model for deciding what AI can do, what humans must still own, and where product teams should draw the boundary. Image created by the author with OpenAI image generation. An AI tool clusters hundreds of customer comments and names the largest theme “pricing friction”. The label sounds plausible, so the team asks it … Weiterlesen
Explaining the Homo Metricus: someone who understands themselves based on scores in apps Photo by Will Truettner on Unsplash When I go cycling, my family asks how many kilometres I’ve covered. When I come back from a football match, the first question I hear is whether I scored. Or even better/worse, how many goals I scored. The … Weiterlesen
Sticky notes don’t help your team. They need your direction Continue reading on UX Collective »
A judgment call, wired in like any other function. Typed answers at keystroke speed let the interface act, suggest, or ask. How UX designers can put a decision model to work today in their applications. On September 15, 2026, a San Francisco lab called TypeSafe AI shipped Jev, a classifier model. You hand it context, … Weiterlesen
Content marketers are used to publishing consistently, earning trust, and measuring how content contributes to demand. But now, buyers also do their research in AI assistants and answer engines, sometimes without clicking through to a website. That changes what content teams need to measure, since it’s no longer enough to know whether a page ranks. … Weiterlesen
Link-building and content outreach were built for search engines. Domain authority, anchor text, and referring domains were the signals that moved search rankings, and they translated directly into an SEO playbook you could run at scale. Answer engines don’t work the same way. Content the answer engine treats as authoritative and relevant for a specific … Weiterlesen
We keep saying taste is the last human advantage, but we’ve built a world (and now tools) that make it almost impossible to develop, and we’re responding by de-risking even further Still from Fantastic Planet, 1973 Most designers and creatives seem to agree that taste and, with that, being able to not only judge what’s good but … Weiterlesen
The hidden cost of outsourcing our thinking to AI. Continue reading on UX Collective »
Muse comes with an avatar you design and a keyring gadget. Few people would hand Meta their passwords, yet it topped the US App Store. Continue reading on UX Collective »
Weekly curated resources for designers — thinkers and makers. “Every prompt is a confession. Before the model returns a word, the box has read me back: the clarity of my thinking, the range of my references, the questions I didn’t think to ask. I think I am describing a task, while in reality I am describing myself, my … Weiterlesen