Last edited by greenlitbooks
September 23, 2026 | History
Names the discipline of running autonomous AI in production and gives it a body of practice the way Site Reliability Engineering did for infrastructure, on the idea that reliability, not capability, binds autonomy.
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Agent Reliability Engineering: Failure, Recovery, and the Discipline of Running Autonomous AI in Production
July 8, 2026, Greenlit Books
Paperback
in English
9798186228363
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Book Details
Table of Contents
Chapter 1. Everyone Can Build an Agent. Almost Nobody Can Run One.
Chapter 2. Why Agents Fail Differently
Chapter 3. The Unattended Nines
Chapter 4. The Failure Ledger: A Taxonomy You Can Act On
Chapter 5. Hallucinated Success
Chapter 6. Context Rot
Chapter 7. Cascade
Chapter 8. Drift
Chapter 9. Silent Degradation
Chapter 10. The Compounding Law
Chapter 11. State Outlives the Model
Chapter 12. Durable Execution as Baseline
Chapter 13. Halt Semantics
Chapter 14. Retry Discipline for Stochastic Work
Chapter 15. The Reliability Signal Set
Chapter 16. Recovery Drills: Chaos Engineering for Agents
Chapter 17. SLOs for Stochastic Systems
Chapter 18. Change Management: Eval-Gated Deploys
Chapter 19. The Model Swap
Chapter 20. Capacity, Quota, and the Cost Envelope
Chapter 21. Incident Response for Nondeterministic Systems
Chapter 22. Degraded Modes and the Autonomy Throttle
Chapter 23. On-Call for a Fleet
Chapter 24. Postmortems Without Reproducibility
Chapter 25. The Launch Gate: Production Readiness for Agents
Chapter 26. The ARE Maturity Model
Chapter 27. Running the Week-Long Run
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