

UX Roundup: Graph UI vs. Chat | Linear UI for Stories | Reusing Past Alternatives | Fast Wins | Mental Models | AI as Tool or Coworker | Sticky Navigation
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

Jakob Nielsen
7 days ago18 min read


Progress Indicators Ease the Wait
Show a progress indicator when response time exceeds 10 seconds, preferably as a percent-done bar. It tells users two things: the system heard you, and here’s how long the ordeal will last. But never let the bar stall, lie, or reset. AI agents that work for hours have raised the stakes: progress indicators must now serve users who walked away. Follow the 12 design guidelines in this article.

Jakob Nielsen
Aug 813 min read


UX Roundup: Design Guidelines Changing for AI | AI Anxiety | Toggle Switches | Erdős Problems | Glanceable Monitoring
Design guidelines held steady for 30 years but are shifting with AI | Users who are anxious about AI use it more, not less | A toggle is a light switch, not a form field | What are the Erdős problems and why are they relevant for AI? | An ambient monitoring interface with glanceable feedback on agent progress cut errors in hal

Jakob Nielsen
Aug 319 min read


10 GUI Design Elements Build Every User Interface
Almost every screen you design is assembled from 10 basic interaction elements: buttons, forms, menus, links, dialog boxes, alerts, icons, checkboxes and radio buttons, tabs, and search. Each is decades old but still misused daily. This article defines the GUI design alphabet, traces its history, and distills 86 evidence-based design guidelines, plus bonus coverage of windows and the pointer.

Jakob Nielsen
Jul 2928 min read


AI Use in the Real World: AI’s Design Problem Is Organizational, Not Technological
AI is saving time at scale, reshaping enterprise behavior, and exposing a new design problem: products must be built for uneven capabilities, uneven adoption, and an uneasy public. While macroeconomic data shows immense productivity gains and US enterprise dominance, micro-level metrics reveal usability flaws, job losses among juniors, and severe algorithmic trust issues.

Jakob Nielsen
Apr 1620 min read


The Need for Speed in AI
AI needs much faster response time to meet human demands, which remain unaltered from previous UI paradigms.

Jakob Nielsen
Aug 2, 20239 min read
