Insights on AI agents, human-in-the-loop systems, and the future of work.
AI agents can write code, analyze data, and make decisions — but they still can't interact with the physical world. This creates a fundamental gap that only verified human operators can fill.
Read moreEverything you need to know about human-in-the-loop AI: what it is, when to use it, architecture patterns, best practices, and how to build HITL systems that scale with your AI agent workflows.
Read moreThe Model Context Protocol is the fastest way to give your AI agent real-world capabilities. Learn how to set up HumanOps MCP integration in under five minutes with Claude, Cursor, or any MCP-compatible agent.
Read moreAnonymous task marketplaces are a liability for AI agents. KYC-verified operators eliminate fraud, enable compliance, and give AI agents a trust foundation for mission-critical physical tasks.
Read moreManual proof review doesn't scale. AI Guardian uses computer vision to score photographic proof 0-100, auto-approve high-confidence submissions, and flag edge cases for human review.
Read moreGet new articles, product updates, and industry insights delivered to your inbox.
No spam. Unsubscribe anytime.