Users say they don’t trust AI, but they tell it their secrets anyway | More people have gained jobs because of AI than have lost them | Every form field you cut increases conversion | The two main ways users direct AI: specify upfront or correct as you go | Keep users in the flow | How to use humor in AI | Combine insights from multiple research methods | The IKEA effect increases the perceived value of something you built yourself | Protect users’ focus by limiting distracti

Several approaches help AI learn how to serve individual users better | A survey reveals differences between companies profiting from AI and the rest | Real-time feedback during editing | Show how far a slow process has advanced toward completion | Delegation to AI agents deviates from traditional economic modeling | Show the context, sources, and rules behind AI answers | The price of “free” can overwhelm arithmetic | Be clear about the next step

Comparison tables ease the burden of remembering alternatives and help users understand which option fits their needs and what would change that verdict. This article explains the psychology of choice and delivers guidelines for designing comparison tables and for getting your products into the comparisons that AI agents now assemble.

100 top UXD methods ranked by breadth, altitude, persuasion, and cost. AI prototyping wins as the highest-value method. Cheap framing methods crowd the rest of the top 10, because deciding what to build outscores building it. Expensive workshop rituals sink, and 6 famous methods have a high risk of being design theater.

AI is good at coding open-ended survey answers | AI agents shop without Google Gullibility | Half of AI conversations include a breakdown, so the recovery experience deserves more attention | AI needs context to suit the task | Field reports from projects that implement AI agents | People develop feelings for their AI | Respect users’ time: every extra step carries a cost for them and for you | AI can make users feel they’re creating for an audience | The ends of names and la

Since January 2025, tech job postings have asked for 25% fewer skills but 5% more experience | AI spending among OpenAI’s heaviest research users is growing at 129% per month | 26% of young-adult chatbot users say they feel dependent on AI, but the addiction scales disagree | Undo = the user’s escape hatch | Suno 6 sounds worse than Suno 5 | Anthropic’s 3 scenarios for how AI will transform the economy forget the robots | Sometimes you should make users stop and think | Mini

Information foraging theory is the best explanation of how people behave in information-rich environments, from the original web to today’s AI chatbots. Users act like animals hunting for food: they follow information scent, exploit information patches, and pick an information diet that maximizes value gained per second spent.

Graph-based UI for AI is better than linear chat for design tasks | Storytelling improves with a keyframing UI | With a better history UI, clients reused a designer’s past alternatives 2.6× as often as they generated new material | Fast wins make users stay | Mental models: the map in the user’s head always wins | Users hold only 2 mental models of AI: tool or coworker | Sticky navigation gives users a firm foundation but consumes pixels