Methodology
The Deep Work Plan Methodology
Seven chapters that take you from the philosophy behind Deep Work Plan to the practical loop, templates, adaptations, running many agents at once, and keeping a swarm running.
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Chapter 01
Manifesto
The case for plan-driven execution with AI coding agents.
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Chapter 02
The core loop
How the core DWP operations drive a plan from goal to verified completion.
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Chapter 03
Plan and task templates
How plans and tasks are structured on disk, and the conventions that keep them readable.
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Chapter 04
Skills and agents
How reusable skills, specialized agents, and repo onboarding fit together.
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Chapter 05
Repository archetypes
Why a repository's archetype determines how an agent onboards and scopes plans.
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Chapter 06
Running many agents
The lead-and-lanes model for orchestrating many agents across panes, machines, accounts and repositories.
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Chapter 07
Swarm autonomy
Capacity-aware lanes, proactive handoff, lead succession with epochs, and the escalation taxonomy that keeps a swarm running.
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