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.
This isn't a prompting cheat sheet. It's fourteen chapters of systems engineering, each one built the same way: a theoretical foundation that explains why a technique works, followed by complete, runnable Python - not fragments - showing exactly how to build it, and an honest account of what it costs and when it's overkill.

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