The Coordination Problem Nobody Talks About When You Give AI Agents Real Work

Everyone talks about giving agents tools. Nobody talks about what happens when those agents need to coordinate. The moment you have more than one agent doing real work, you hit a wall that has nothing to do with prompting, context windows, or model quality. It's coordination: which agent owns what, who delegates to whom, and how does anyone know when downstream work is done. For months, the coordination layer was me : a human switchboard operator, copy-pasting task updates between agents that couldn't talk to each other. The problem: human tools don't fit agents I tried every task tool with an API: Todoist, Linear, Notion, Asana. Same three problems every time. 1. Three agents, one API key Todoist doesn't know which agent created a task. They all authenticate as one user. When a rogue task appears at 3 AM, good luck figuring out which agent created it. 2. No delegation model "Assign to user" is not the same as "Agent A delegates to Agent B, who spawns a subtask for Agent C, and the who