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Chapter 32: AI Orchestra – Manage Agent Teams

This chapter transforms you into an AI team lead — someone who can coordinate multiple agents to achieve complex goals. The skills you’ll build here apply equally to managing AI agents and leading human teams.

You’ll begin by manually managing three agents, learning how to break large problems into smaller, coordinated tasks — this foundational skill is called decomposition thinking.
Next, you’ll explore how coordination scales: what works smoothly with three agents, and what starts to break as you move to five or seven.

Finally, you’ll learn to orchestrate larger teams using SpecKit Plus, applying contracts and completion hooks to manage 5–7 autonomous agents working in parallel.

What You'll Learn​

  • Decomposition Thinking — Break complex systems into parallelizable units with clear, measurable contracts.
  • Task Management — Coordinate three AI agents across Git worktrees, running SpecKit Plus commands simultaneously to experience a 2–3× speedup.
  • Scaling Analysis — Identify what works at three agents, what changes at five to seven, and when automation becomes essential.
  • Team Lead Skills — Transition from execution management to strategic oversight — validate against contracts rather than micromanaging processes.
  • SpecKit Plus Orchestration — Use SpecKit Plus to coordinate 5–7 agents.

Most importantly, you’ll build lasting decomposition muscle memory — a skill that applies to AI coordination today and human leadership tomorrow.

This chapter emphasizes thinking (60%) over tools (40%). Tools evolve; structured thinking endures.
By mastering decomposition, you’ll gain the ability to lead AI agents, human teams, and agentic organizations — applying the same scalable mental models across any level of complexity.

By the end, you’ll embody creative independence — leading both human and AI teams with clarity, structure, and confidence.