Human-in-the-Loop Agent Patterns
PRODesign AI agents with human oversight that know when to pause, escalate, and request approval. Implement approval workflows, confidence-based routing, and graceful handoffs.
Example Usage
“Design a human-in-the-loop system for our content moderation agent. It should automatically approve clearly safe content (confidence > 0.9), flag borderline content for human review (0.6-0.9 confidence), and immediately escalate potentially harmful content. Reviewers should get Slack notifications with approve/reject buttons. Include an audit trail of all decisions.”
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Suggested Customization
| Description | Default | Your Value |
|---|---|---|
| Degree of human oversight required | approval-required | |
| Where approvals are requested | slack | |
| Confidence level triggering human review | 0.7 | |
| What happens if no human response | pause-and-retry |
What You’ll Get
- Decision criteria framework
- Approval workflow implementation
- Notification channel setup
- Escalation patterns
- Graceful handoff procedures
- Audit and compliance logging
Research Sources
This skill was built using research from these authoritative sources:
- Human-in-the-Loop for AI Agents: Best Practices Comprehensive guide to HITL implementation for AI agents
- Human-in-the-Loop AI Workflows: Patterns Zapier's guide to HITL workflow patterns
- Amazon Bedrock Human-in-the-Loop Confirmation AWS implementation of HITL for AI agents
- Microsoft Agent Framework: Human-in-the-Loop Microsoft's approach to HITL agents
- Cloudflare Agents: Human in the Loop Cloudflare's HITL documentation for agents
- Auth0: Secure Human-in-the-Loop Interactions Security patterns for HITL agent interactions