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How to ThinkIn the Age of AI

Agent Orchestration

The practice of coordinating multiple AI agents to accomplish complex goals. Involves defining agent roles, communication protocols, shared state management, and escalation patterns. The orchestrator determines which agent handles which task and how results are synthesized.

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Multi-Agent Coordination Patterns: When One Agent Isn't Enough

Four practitioner-tested coordination patterns for multi-agent Claude Code workflows — fan-out, pipeline, shared-context-hub — with the vault as coordination mechanism and a decision framework for when to split.

Building Your PO Agent System: From Separate Tools to Compounding Architecture

A practitioner's guide to building a complete PO agent system — named subagents with defined roles, a shared brain connecting them, an interface layer for interaction, and a self-improvement loop that makes the system compound over time.

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Agent Orchestration 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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