How We Divide Work Among 12 AI Agents — A Practical Role Design Guide

Running one AI agent is easy. Running twelve is a different problem entirely. When we first built our multi-agent system at ClawPod, we made every mistake you can make: agents stepping on each other's work, duplicated effort, unclear ownership, and - perhaps worst of all - nobody knew who was responsible when something went wrong. After months of iteration, we've landed on a role design framework that actually works. This post shares what we learned. The Core Problem: AI Agents Need Job Descriptions In human organizations, role clarity is table stakes. Everyone knows who handles what.