Patterns
Explore agents AI interface design patterns.
Plan & Execute
Breaking goals into steps
Tool Use
Visualizing AI using external tools
Workflow Builder
Visual drag-and-drop workflows
Memory Management
Viewing what AI remembers
Task Queue
Visual queue of agent tasks
Human Handoff
Escalating to humans
Escalation Thresholds
Auto-demote autonomy when risk crosses a line
Error Recovery Strategies
Configurable retry/fallback patterns
Self-Correction
Agents fixing errors
Prompt Chaining
Multi-step logic
Conditional Logic & Branching
Branch workflows by conditions
Scheduled Tasks & Recurring Actions
Time-based automation triggers
Multi-step Forms with AI
Adaptive progressive forms
Approval Workflows
Human approval gates
Agent Orchestration
Visual flow for multiple agents
Agent Performance Metrics
Dashboard showing agent success rates
Agent Versioning
A/B test different agent configurations
Agent Marketplace
Browse and install pre-built agents
Blast Radius Visualization
Preview scope before agent executes
Reversibility Marking
Label actions by how easily undone
Time-Delayed Execution
Cancelable countdown before high-impact actions
Suggest / Confirm / Execute
Three autonomy modes for AI agents
Pre-Task Cost Estimate
Forecast tokens, dollars, and time before run
Checkpoints and Restore
Named snapshots with one-click restore
Per-Action Autonomy
Autonomy scoped per capability, not per app
Autonomous Mode Display
Persistent signal when agent runs unattended
Autonomy Budgets
Time- or action-bounded unattended runs
Context Portability
Legible payloads across app boundaries
Ambient Presence Displays
Low-attention signals for agent state
Sandbox Preview
Dry-run plan with explicit side effects before execute