ai
Data from AI-generated respondents pointed to the same conclusion as a survey of 604 humans but contained far fewer distinct answers.
AI saves UX practitioners time on nearly every task, yet most feel lukewarm about it: mandates, unreliable output, and inflated expectations eat the gains.
AI is expanding UX beyond human users to agents acting on their behalf. Experience design names this broader field, which still centers on people’s goals.
AI-native software development lifecycles reduce UX to AI context. UX must discover user needs, shape what’s built, and evaluate it before and after launch.
An agent harness manages a software loop between an AI model and its tools. Its context, permissions, and limits shape what users can do.
Practical guide on how to reduce drifts, minimize mistakes, maintain context, and improve the quality of AI-generated prototypes. Brought to you by Design Patte…
In a world where AI is informing more design choices, it’s easy to mistake predictions for certainties. This article introduces Probabilistic Design, a mindset …
Teams can generate UI faster than ever, but they still have to guarantee that what they ship is usable, secure, and maintainable. Accessibility as an operationa…
A closer look at why users don’t need more tools in their daily lives. What they need are seamless integrations of useful features to match already existing, es…
Many companies assume everyone craves new AI features. But the reality is that most people don't want more AI — at least not in the way most AI leaders envision…
