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.
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.
Pressure to adopt AI isn't evidence that a tool helps. The PROVE framework tests one tool against one task and produces a provisional decision you can defend.
A study of Qwen's AI agent reveals 4 design lessons: support discoverability, reuse familiar patterns, handle personal data carefully, and protect user autonomy.
Hype happens when messaging becomes divorced from good experiences. Learning from the virtual reality hype cycle can help us avoid future distractions.
There are five steps to run the Wizard of Oz Method, a moderated research method in which a user interacts with an interface that appears to be automated but is actually controlled to some degree by a person.
Maximize the value of your smartwatch notifications by making them personally relevant, appropriately timed, non-repetitive, and sufficiently informative.
The NN/g UX Podcast featured Henry Modisett, head of design at Perplexity AI, who shared how to make AI tools usable and efficient for information seeking.
Applications native to smartwatch operating systems get used the most. Just because a new smartwatch app could offer basic functionality, it does not mean that users will find it valuable.
Smartwatches are for more than just receiving notifications and tracking steps. They afford at least 6 different types of interactions that users find useful.
