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This book is a comprehensive guide to harness engineering: the discipline of designing the scaffolding that wraps around AI models to make them reliable, observable, and governable in production. Whether you are building an internal AI copilot, a customer-facing chatbot, or an autonomous agent system, the model alone will not deliver. The surrounding infrastructure: context management, guardrails, testing, monitoring, and governance: determines whether your AI system succeeds or fails. This book covers the principles, architectures, tools, and practices that constitute the emerging discipline of harness engineering, with real-world case studies from companies like OpenAI, LangChain, Stripe, and major financial institutions. Written for software engineers, AI practitioners, technical leaders, and advanced students.

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Kick off your book project, get started with GhostAI, get better at marketing, or spend the day doing all three! Free live workshops on Zoom. Saturday, June 27, 2026.

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