AI UX
AI UX (AI user experience) is how people perceive and interact with AI features: streaming replies, tool pickers, citations, autonomy, memory, and recovery when something goes wrong.
It is distinct from general UI design because AI behavior is probabilistic—interfaces must help users calibrate trust and correct mistakes.
What it means
The interface and interaction patterns that make AI outputs understandable, verifiable, and controllable for the task at hand.
Why designers should care
Users abandon AI features when they cannot tell what the system did, whether to believe it, or how to undo it. AI UX patterns encode solutions seen in shipped products.
Example
A search assistant streams an answer, shows numbered citations inline, and lets users open the source panel without leaving the thread.
Common mistakes
- • Copying static-app layouts without states for loading, partial results, or errors.
- • Equal visual weight for high-confidence and low-confidence outputs.
- • Hiding that the feature uses AI until something goes wrong.