Patterns
โšก

Agent Status & Activity UI Patterns(ASP)

Interface elements showing real-time agent activities, thinking states, and operational status for user awareness

Complexity: mediumUI/UX & Human-AI Interaction

๐ŸŽฏ 30-Second Overview

Pattern: Real-time visual indicators showing agent activities and operational status

Why: Users need transparency about agent progress to build trust and know when intervention is needed

Key Insight: Show not just that agent is working, but specifically what it's doing and how long it might take

โšก Quick Implementation

1Status States:Define thinking, processing, waiting, completed states
2Visual Indicators:Animated icons, progress bars, and status badges
3Real-time Updates:WebSocket or polling for live status changes
4Progress Tracking:Show percentage complete and time estimates
5Activity Logs:Timestamped history of agent actions
Example: Thinking ๐Ÿง  โ†’ Processing โš™๏ธ โ†’ Searching ๐Ÿ” โ†’ Completed โœ…

๐Ÿ“‹ Do's & Don'ts

โœ…Show status updates within 100ms of state changes
โœ…Use consistent icons and animations across all states
โœ…Provide meaningful descriptions of current activities
โœ…Display progress bars for long-running tasks
โœ…Include estimated completion times when possible
โŒUse generic "loading" states without context
โŒShow rapid status flickering or jumpy animations
โŒHide critical error states from the user
โŒLeave users guessing what the agent is doing
โŒOverwhelm with too many simultaneous status indicators

๐Ÿšฆ When to Use

Use When

  • โ€ข Long-running agent tasks (>2 seconds)
  • โ€ข Multi-step workflows with dependencies
  • โ€ข Background processing tasks
  • โ€ข Users need progress visibility

Avoid When

  • โ€ข Instant responses (<500ms)
  • โ€ข Simple confirmation actions
  • โ€ข Static information displays
  • โ€ข Single-step operations

๐Ÿ“Š Key Metrics

Status Clarity
User understanding of agent activity
Update Latency
Time between state change and UI update
Progress Accuracy
Estimation vs actual completion time
User Interruptions
Frequency of unnecessary user interventions
Error Recovery
Success rate of handling failed states
Trust Building
User confidence in agent reliability

๐Ÿ’ก Top Use Cases

Document Processing: Show parsing โ†’ analysis โ†’ summarization โ†’ completion stages
Data Analysis: Display loading โ†’ processing โ†’ calculating โ†’ visualizing status
Search Operations: Indicate querying โ†’ filtering โ†’ ranking โ†’ presenting results
Background Tasks: Monitor email sync, backup, or cleanup operations
Multi-Agent Systems: Track status of multiple agents working in parallel

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