Performance & Efficiency

Agent Status & Monitoring

Design a layered status system with escalating attention demands - from ambient badges to glanceable progress panels to interrupting notifications - so users stay informed about agent activity without being forced to watch.

What is Agent Status & Monitoring?

When an agent is working on a long-running or multi-step task, users need to know what's happening without being forced to watch constantly. Traditional loading indicators like spinners and progress bars don't work for agentic tasks that may take minutes or hours, involve multiple parallel activities, or require occasional user attention. The design challenge is keeping users informed without demanding their attention. This pattern provides four status layers: ambient status (persistent unobtrusive badge), progress status (glanceable panel available on demand), attention status (interrupting notification when input is needed), and summary status (completion report). The system supports multiple concurrent tasks, provides estimated completion times, and auto-dismisses completed items while keeping them accessible in the audit trail.

Problem

Traditional loading indicators don't work for agentic tasks that take minutes or hours, involve parallel activities, or need occasional user input. Users need to stay informed without being forced to constantly monitor agent activity.

Solution

Design a layered status system: ambient badges for background awareness, expandable progress panels for detail, attention notifications only when input is needed, and completion summaries when tasks finish. Support multiple concurrent tasks with estimated times.

Real-World Examples

Implementation

AI Design Prompt

Guidelines & Considerations

Implementation Guidelines

1

Match the status display to the task duration. Sub-10-second tasks need only a spinner. Multi-minute tasks need a progress panel. Multi-hour tasks need a dashboard.

2

Allow users to 'check in' on agent activity without disrupting the agent's work. Think of it as looking through a window, not opening a door.

3

Support multiple concurrent agents or tasks. If the user has 3 agents running, the status system should aggregate and prioritize.

4

Provide estimated completion times and update them as the agent progresses.

5

After completion, auto-dismiss the status after a brief display. But keep completed tasks accessible in the Action Audit Trail.

6

Use escalating attention demands: ambient badge for background work, glanceable panel for progress, interrupting notification only when the agent needs input.

7

Never use full-screen loading states for agentic tasks - users need to continue other work while the agent operates.

Design Considerations

1

Status check frequency: how often users manually check agent progress - too often suggests insufficient ambient feedback

2

Notification-to-action time: how quickly users respond when the agent escalates to attention status

3

False urgency rate: how often attention-level notifications turn out to be non-urgent

4

Multiple concurrent task displays must remain readable without overwhelming the interface

5

Estimated completion times must be reasonably accurate to maintain user trust

6

The transition between ambient, progress, and attention states should feel natural, not jarring

7

Completed task indicators should auto-dismiss to prevent status clutter over time

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About the author

Imran Mohammed is a product designer who studies how the best AI products are designed. He studies and documents AI/UX patterns from shipped products (36 and counting) and is building Gist.design, an AI design thinking partner. His weekly analysis reaches thousands of designers on Medium.