Engineering AI Applications: A Hands-On Guide to Building Production-Grade Systems with Foundation Models

The gap between an AI demo and a production system is enormous. Your RAG pipeline that works on a test set might return garbage in production. Your agent that handles 99% of cases can cause catastrophic damage on the 1% that matters.

This book is about closing that gap. It gives you a hands-on guide to building reliable, cost-effective, and safe AI systems. You will learn a capability and reliability framework that ensures your model’s power is amplified while its risks are contained.

Inside, you'll discover: • Choosing the right model for your specific task • Systematic prompt engineering as software engineering • Building reliable retrieval-augmented generation systems • Structured outputs and function calling for reliability • Designing agents that don’t spiral out of control • Evaluation strategies for production AI • Cost optimization, latency management, and observability

Build AI applications that users can trust and that won’t embarrass you at 3 AM. This book gives you the engineering discipline to succeed.

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E-bog: 29. juli 2026