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Agent UX

Also known as: agentic UX, agent interface design, AI agent interface

The practice of designing interfaces for autonomous agents: showing what the agent is doing, letting users intervene at any step, and building trust through transparency rather than through hiding the work behind a spinner.

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.

This definition is AI-generated and refreshed weekly. It may contain inaccuracies. Use your own judgment, especially for production decisions.
Related terms
Generative UIHuman-in-the-loopHuman-in-the-loop designAgent observabilityProgressive delegation