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Hermes: Organizations as Swarming Agents

Hermes: Organizations as Swarming Agents

Scrum made human teams 10× faster. Now it's doing the same for AI agents. Here's the architecture.

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About

About

About the Book

In 1993, the first Scrum team was independently measured at ten times the productivity of waterfall. In 2026, the same protocol is doing it again, this time with AI agents.

Hermes: Organizations as Swarming Agents is Dr. Jeff Sutherland's field report from the front line of agentic work. It explains why a single AI agent, however brilliant, tops out at one story every 10 to 15 minutes, while a six-agent Scrum team on a cheap-model chain closes 50 to 100 stories in the same window, at about a tenth of the cost.

Inside, you'll learn:

  • Why Hermes won the orchestration race in 90 days, and why it works best as the manager, not the worker
  • How OpenClaw Scrum teams swarm work to done under WIP limits and a server-enforced Definition of Done
  • What happens when the agent "picks up the mouse" and drives software with no API at all
  • How an AI-run IT department kept around 225 medical devices online unattended, and got better every night
  • The math of three compoundings: Scrum's 10×, the swarm's 10×, and the cost chain's 10×

This isn't a forecast. It's architecture already running in production, written by the co-creator of Scrum for technical leaders, Scrum practitioners and founders who can see all the pieces but not yet the picture.

This book is growing, sprint by sprint. Like the teams it describes, it's built in increments. New chapters are added as the work in production moves forward. Buy it now and you'll receive every new chapter and update as it's published, at no extra cost.

The protocol is the same. The workers are different. The economics are now decisive.

Author

About the Author

Jeff Sutherland

Co-Creator of Scrum and Scrum@Scale and Signatory of the Agile Manifesto

The Leanpub Podcast

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Contents

Table of Contents

Prologue: The Compounding Edge

  1. The First 10× Was Measured
  2. The Second 10× Is Now in Production
  3. The Token Economy Is Now the Strategic Frontier
  4. The Ukraine Lesson
  5. What This Book Argues

The Agent That Compounds

  1. The Number That Showed Up — And the Number That Didn’t
  2. Two Architectures, One Category
  3. Why Kanban Tops Out
  4. Sub-Agent Fan-Out Is Not a Team
  5. What an OpenClaw Scrum Team Does Instead
  6. The Numbers, Stated Plainly
  7. Hermes as the Manager, Not the Worker
  8. What This Book Is For
  9. Key Statistics Referenced

Hermes Computer Use — When the Agent Picks Up the Mouse

  1. Introduction
  2. Section 1: What Computer Use Is
  3. Section 2: Use Cases That Matter
  4. Section 3: Installing It — The Happy Path
  5. Section 4: The Problems We Encountered
  6. Section 5: The Validation Tweet
  7. Section 6: From Personal Automation to Digital Organization
  8. Section 7: What’s Coming Next
  9. Conclusion
  10. Further Reading and Resources

The Velocity Release: What Hermes 0.15 Teaches Us About First-Principles Scrum

  1. 1. The Numbers That Frame the Increment
  2. 2. Dramatic Reduction in Code Size — Subtraction as Velocity
  3. 3. Lazy Loading — Defer Everything That Isn’t on the Critical Path
  4. 4. Swarming Agents — From a Task List to a Coordinated Multi-Agent Platform
  5. 5. Security Enhancements — Hardening the Boundary Without Slowing the Flow
  6. 6. The Other Good Stuff — Velocity Compounds in the Margins
  7. 7. Reading the Whole Release as One Sprint

Running an IT Department with AI: The Fleet as Product

  1. 1. Three Goals, One Scoreboard
  2. 2. The Irreducible Job of IT
  3. 3. Inventory Is Transparency
  4. 4. Readiness Is the Definition of Done
  5. 5. Canary, Then Batch — WIP Limits for Infrastructure
  6. 6. When the Agent Is the Impediment — No-Agent Cron
  7. 7. The Self-Healing Team — Impediments Become Cron
  8. 8. Model Policy Is Organizational Policy
  9. 9. False Greens Kill Trust
  10. 10. HIPAA Hardening That Makes Machines Faster
  11. 11. Offline Is a State, Not a Sin — and Attention Is Finite
  12. 12. Reading the Whole Fleet as One Sprint
  13. What’s Ahead
  14. Key Statistics Referenced
  15. Further Reading

Epilogue: The Protocol Is the Same

  1. The Experiment I Didn’t Know I Was Running
  2. What the Agents Actually Changed
  3. The Night the Queue Went Empty
  4. Intelligence Is a Dependency
  5. Where the Humans Belong
  6. The Bet, and the Invitation

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