Agent UX
Also known as: agentic UX, agent interface design, AI agent interface
A chatbot waits for a prompt and responds once. An agent plans, calls tools, makes decisions, and takes actions across minutes or hours. Traditional interfaces have no vocabulary for that. Agent UX is the emerging practice of designing for the difference: showing the agent's plan as a live editable step list, surfacing each tool call before it runs, displaying confidence and sources, and giving the user a clear stop button at every checkpoint.
The patterns showing up most often in 2026 agent products are a few consistent moves: a transparent step list the user can inspect and edit before the agent acts; scoped previews of what the agent is about to touch (like a file diff before a code change); visual separation between 'model is thinking' and 'agent is doing'; and an override control that lets the user step in without breaking the session. Gartner projects that around 40% of enterprise applications will include task-specific agents by end of 2026, up from under 5% in 2025, making agent UX a mainstream design concern rather than a niche one.
For builders, the practical lesson from products like Claude Code and Cursor is that opacity kills adoption. When users can't see what an agent did or why, they stop trusting it after the first mistake. Agent UX is how you make the work visible without overwhelming the user with logs. Show the plan, not the implementation; show intent, not stack traces.