Claude Anthology

Every Claude-powered demo works. Most Claude-powered systems don't survive contact with production.
Claude Anthology is the book for developers who are past the "hello world" API call and need to know what actually breaks when a Claude-powered system meets real users, real cost pressure, and real failure modes - and how to build it so it doesn't.
>Inside, you'll build:

1. Agentic tool-use loops that don't fall apart the first time a tool call fails
2. Retrieval and long-context systems that stay accurate past the demo-sized corpus
3. Structured extraction pipelines with real validation, not hopeful parsing
4. Multi-agent orchestration that knows when decomposition actually helps
5. Evaluation frameworks that catch a regression before your users do
6. Production observability, cost engineering, and safety guardrails that hold up under real traffic
7. Vision workflows, coding agents, and the Model Context Protocol

A closing chapter of named architectural patterns that shows how it all fits together in one working system
Every chapter ends the same way this book begins: match the engineering to what the task actually needs, and build nothing more than that. No inflated architectures. No hand-waved edge cases. Just the discipline it takes to ship something that keeps working after launch day.
Written for experienced developers, AI engineers, and technical teams building on Claude who are ready to stop guessing and start engineering.