Generative AI Developer Handbook

You have a generative AI feature to ship, and the tutorials you've found stop at hello world. Miles Draper's Generative AI Developer Handbook picks up where they quit. Written for working developers, it walks you through building a real application end to end: making your first reliable LLM call, grounding answers in your own data with retrieval-augmented generation, giving models tools and memory through function calling and agents, and knowing when fine-tuning actually beats prompting. You'll also learn the parts most guides skip, like evaluating outputs, controlling latency and cost in production, and monitoring live systems once real users arrive. Every chapter is example-driven and aimed at shipping, not theorizing. By the last page, you'll have designed, built, evaluated, and deployed a production-grade generative AI application, with checklists and templates to reuse on the next one. When you're ready to move past prototypes, this is the book to keep within reach.