What happens when your AI agent hires another AI agent? We’re getting pretty comfortable with one agent doing a task for us. The next step is stranger: your agent decides it needs help, spins up another agent, gives it part of the job, then reviews what comes back. At that point, you’re not really managing a tool anymore. You’re managing a tiny team you didn’t hire. 🚩1. Delegation becomes part of the system. A coding agent might hand research to one agent, testing to another, and documentation to a third. The interesting part is no longer just whether each agent is good. It’s whether they divide the work well. 🚩2. Mistakes can travel between agents. If the first agent misunderstands the task, it can pass that bad assumption downstream. By the time the final answer comes back, the output may look polished even though the whole chain started from the wrong idea. 🚩3. The human role starts looking more like management. You set the goal, decide what matters, check the final result, and step in when the team goes off track. Less “do this task for me,” more “run this project and come back when something needs my attention.” We spent years learning how to work with AI assistants. Now we may need to learn how to manage AI teams.