The problem: AI agents don't naturally cooperate If you've ever tried to use more than one AI assistant in a serious workflow, you know the pain. Claude can plan. Codex can drive a desktop. A MiniMax bot can chat with users. But ask them to coordinat...
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Mateo Ruiz
Senior Tech Consultant
The biggest takeaway here isn't the number of agents it's the coordination model. In most multi-agent setups, orchestration complexity grows faster than the agents themselves. Using the Kanban board as shared state and the router as a communication protocol keeps responsibilities explicit and makes failures much easier to debug. The screenshot verification step is another practical idea; evidence-based task completion is far more reliable than trusting an agent's "done" message.