AI Engineer’s Field Guide

AI Engineer’s Field Guide is a practical and strategic resource designed for AI practitioners and system architects looking to build robust production AI systems. Unlike traditional guides that jump straight into model selection, this playbook emphasizes a top-down approach by mapping complex problems onto five core architecture pillars: Data, Intelligence, Orchestration, Guardrails, and UX. It features decision trees covering crucial choices such as RAG versus fine-tuning, agents versus single calls, and chunking strategies, helping engineers make informed decisions early in the design process. Additionally, it offers a phased build roadmap aligned with cloud services and a comprehensive 10-incident production playbook, making it invaluable for managing real-world deployment challenges. Available as an interactive HTML document and offline PDF, the guide is accessible and adaptable for various project needs, making it suitable for AI engineers, data scientists, and product managers aiming to streamline AI system development.