Your Claude API Python script works everywhere except production.
It crashes on a new document, burns through your budget overnight, or returns text your code cannot parse. Every automation tutorial stops exactly where your real problem starts.
This book is the hands on guide to prompt engineering, AI automation, and production ready Claude API development in Python. You will learn to structure Claude's output, control its cost, and scale a single script into a real system. No toy examples, just production code you can actually ship.
Twenty chapters take you from your first API call to a deployed, cost aware application. Along the way you will cover vision, retrieval augmented generation, multi agent systems, and the Claude Agent SDK. You will also build a document processing pipeline and a customer support automation from scratch.
Inside, you will learn how to:
Turn unpredictable text replies into structured, validated data with PydanticBuild autonomous AI agents with the Claude Agent SDK and real tool accessCut your Claude API costs with prompt caching, batching, and smart model routingExtract data from PDFs, receipts, and scanned documents using Claude's visionHandle rate limits, tool errors, and streaming failures without losing sleepDeploy a FastAPI service behind Docker with secrets management and monitoringWrite evals that catch a broken prompt before your users ever doThis is the reference for the solo developer, the freelance consultant, and the engineer on a growing team. All three need Claude code that survives day one hundred, not just day one.
Stop copying code from the docs. Start shipping Claude applications your business can actually run on.