Your Claude API integration works in the demo and breaks the moment real users touch it.
Rate limits blindside your launch at the worst possible moment, and retrieval quietly returns the wrong context to real users. A prompt that worked perfectly in every test breaks the moment an actual customer phrases something slightly differently.
Building with Claude AI is a hands-on guide to shipping real applications on the Claude API, not a theoretical overview. It is written specifically for developers who need working code they can actually run, not another AI hype primer. Every chapter comes straight from real production experience, not abstract theory.
You will build retrieval augmented generation pipelines that actually retrieve the correct context, every single time. You will wire up autonomous AI agents, real tool integrations, and connections through the Model Context Protocol. You will ship a genuine evaluation system that catches regressions before your actual users ever see them.
Build a working retrieval pipeline with hybrid search, reranking, and citations Claude can point directly back toWire up tool use and the Model Context Protocol without breaking your very first agent loopCut real, measurable API costs with prompt caching, batch processing, and smarter context managementShip a full evaluation system with a golden dataset that catches regressions before your users doHandle rate limits, retries, and model version updates without a surprise 3 a.m. pageDeploy confidently through the direct API, AWS Bedrock, or Google Vertex AI, your choiceFollow one complete customer support assistant built chapter by chapter, from architecture straight through to launchBecome the developer on your team who ships Claude powered features that work in production, not just in demos.