This week, we explore why keeping humans in the loop is crucial for AI agent success. Discover how "outer loop agents" can transform unreliable 80% accuracy into enterprise-grade solutions through strategic human checkpoints.

Our guest, Dexter Horthy explains how human-in-the-loop systems enable AI to handle high-stakes tasks like infrastructure management, supply chain operations, and critical business decisions that would otherwise be too risky. Learn about the practical frameworks for implementing human oversight that major companies are already using to deploy AI safely and effectively.

If you're building AI agents or automations and struggling with reliability issues, this episode reveals the missing piece in your system design. Find out why the future of AI isn't about complete autonomy, but intelligent collaboration between humans and machines.

Check out HumanLayer:

https://www.humanlayer.dev/

12 Factor Agents:

https://github.com/humanlayer/12-factor-agents

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00:00 - Intro

00:53 - How Dexter Horthy Started Building AI Agents

07:02 - Why Human-in-the-Loop is Essential for AI Reliability

17:13 - Best Frameworks and Practices for Building AI Agents

22:22 - Model Context Protocol (MCP): Hype or Essential?

26:45 - Common Mistakes When Building AI Agents

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