Wondering how to set up autonomous AI agents that complete work in the background without constant babysitting? Want a step-by-step process for training AI to run your workflows on its own and even manage other AI agents?

In this article, you’ll discover how to build AI playbooks you can trust to run autonomously, remove yourself from the review loop, and set up an AI middle manager that oversees your other AI agents.

This article was co-created by Rachel Woods and Michael Stelzner. For more about Rachel, scroll to the end of this article.

Why Trust, Not Agent Building, Is the Key to Autonomous AI

Building an agent doesn’t make AI autonomous. According to Rachel Woods, AI can only run in the background without supervision once it can be trusted to do the work the way it’s supposed to be done. Without that trust, an agent runs off doing random things, and someone has to go back and undo that work.

The fix is to document the work step by step in what Rachel calls a playbook.…