users

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AI-agent power users curate 3 kinds of context: global (across tasks), local (task-specific), and ambient (raw streams like email).

Unsure where to start? Use this collection of links to our articles and videos to learn about how artificial intelligence works, and how users think about it.

Empathy maps help UX teams visualize user attitudes and behaviors, building a shared understanding of end users while highlighting gaps in existing user data.

Claude power users rarely edit their context files and often can’t find them. Your AI agent is only as powerful as its context library.

A useful AI assistant needs relevant personal context, the capability to use it, and an experience that helps users understand its limits.

Data from AI-generated respondents pointed to the same conclusion as a survey of 604 humans but contained far fewer distinct answers.

What people say, feel, think, and do are often very different things. To understand the underlying reasons for user behavior, it helps to look beyond the surfac…

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 …

We’ve fallen into conversational tunnel vision, defaulting every AI capability into a chat-based interface simply because LLMs are trained on dialogue data. But…