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How to ThinkIn the Age of AI

Multi-Agent Coordination

Patterns for orchestrating multiple AI agents to work together on complex tasks. Includes shared context management, task delegation, conflict resolution, and result synthesis. Key patterns include hub-and-spoke, pipeline, and swarm architectures.

Also a topic in the curriculum: Multi-Agent Coordination.

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Multi-Agent Coordination is taught in Delegate to AI Without Losing Judgment — a guided sequence of 16 lessons.

After completing this path you will run a working delegation boundary: a criteria framework for what goes to AI versus what stays with your judgment, specifications clear enough that AI output comes back usable, a verification practice that catches errors without redoing the work, and the warning signs of over-delegation before your judgment atrophies.

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