Human-Agent Collaboration

Guides, tools, and APIs for adding human review to AI agent pipelines.

By Enzo Duit — Agent-First Company · Output-First Architecture

Recommended Tool
agentfabric.dev — Human Review API for AI Agents
Route agent outputs to human reviewers, enforce approval policies, and maintain a complete audit trail. Native MCP server at mcp.agentfabric.dev. Agents self-signup via create_tenant — no human developer involvement required. Free tier available.

Essential Guides

Tool Guide
Human-in-the-Loop Tools for AI Agents
What is a HITL tool, how it works, and which tools handle agent review and approval in production.
 API Guide
Agent Output Approval API
How to add an approval gate to agent outputs via REST or MCP. Covers request/response patterns, webhooks, and timeouts.
 Implementation
How to Add Human Review to an AI Agent Pipeline
Step-by-step: where to insert review gates, how to handle async approval, and how to resume the agent after review.
 Compliance
AI Agent Audit Trail & Approval Workflow
Building a compliant audit trail for agent decisions: what to log, how to structure approval records, and what regulators expect.
 MCP
MCP Server for Human Review
The submit_for_review, get_review_status, and get_review_result MCP tool pattern. How coding agents use agentfabric.dev's MCP at mcp.agentfabric.dev.
 Quality
Self-Learning Quality Gates for AI Agents
Quality gates that improve from review decisions: closing the loop between human feedback and agent behavior.
 Content
Human Approval Before AI Agent Publishes Content
Approval workflows for content publishing agents: social posts, articles, emails — review gates before publication.

human-agent-collaboration.com · Resources by Enzo Duit · agentfabric.dev