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AI saves UX practitioners time on nearly every task, yet most feel lukewarm about it: mandates, unreliable output, and inflated expectations eat the gains.

Definitions of fields related to user experience, including UX design, UI design, visual design, interaction design, service design, UX research, and DesignOps

Plain-language definitions of the AI terms that come up in product and design work, from tokens and context windows to agents, evals, and prompt injection.

Take up to 5 in-depth training courses, teaching user experience best practices for successful design. Courses focused on long-lasting skills for UX professionals. November 9 - 13, 2026.

AI lets teams build faster than UX can evaluate. UX can adapt by building shared judgment, accelerating evaluation, and guiding AI-generated designs.

AI can help you organize research you’ve already collected, but it can’t create research evidence about the specific, messy experience of real users.

The NN/g's live online UX training event includes both intensive classroom learning and open community interaction with other UX professionals. We’re excited to bring the UX community together for a new, digital approach to the UX Conference.

Take up to 2 in-depth training courses, teaching user experience best practices for successful design. Live online training focused on long-lasting skills for UX professionals. Nov 16 - Nov 19, 2026 (Americas) | Nov 17 - Nov 20 (Asia/AU).

Unsure where to start? Use this collection of links to our articles and videos to learn about the best ways to use artificial intelligence for UX work.

NN/G uses AI for clarity, formatting, and critique, but humans retain editorial judgment and responsibility for every article.

AI tools make it feasible to build fully interactive prototypes of complex interfaces so you can test them with users earlier in the design process.

Take up to 5 in-depth training courses, teaching user experience best practices for successful design. Training focused on long-lasting skills for UX professionals. December 2 - December 15, 2026.

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 recommendations for designing AI products and features.

How people react to being told that AI helped create a piece of content varies with audience, context, the nature and degree of AI use.

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.

AI makes building nearly free, so users grow agentic systems piecemeal into fragile messes they no longer understand.

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.