I Run 10+ AI Agents Daily - Here's What Nobody Tells You About Orchestration

Somewhere around agent number seven I realized I had a management problem. Not a technical one. The agents worked fine individually. Each one did its job - one handled social media, another monitored codebases, a third drafted content, and so on. The problem was that nobody was watching the watchers. The meta-orchestration problem When you run one AI agent, you manage it directly. Check its output, fix its prompts, adjust its schedule. Simple. When you run ten, you need something to manage the managers. And that something turns out to be... mostly project management. The same boring PM skills I've been using for fifteen years. Here's what I mean. Agent A posts a comment. Agent B is supposed to track whether anyone replies. Agent C is supposed to draft a follow-up based on the reply context. Sounds great in theory. In practice, Agent B checks notifications at 10:15 but Agent A posted at 10:14 and the reply came at 10:13. Agent C never fires because Agent B never saw the reply. The coord