AI Engineer’s Field Guide

The "Engineer’s Field Guide" offers a practical, top-down methodology for designing robust production systems, moving beyond simple prototypes. It helps engineers frame business decisions before selecting tools or models. Key elements include: • Mapping problems to a 5-pillar architecture (Data, Intelligence, Orchestration, Guardrails, UX) • Decision trees for core components (RAG vs. fine-tuning, agents vs. single call) • Phased build roadmap with cloud platform integration • A 10-incident production playbook for operational stability This guide is not a tutorial on building a specific application, nor is it a theoretical textbook. Instead, it provides a comprehensive framework to approach any business challenge and design the appropriate system around it. It teaches how to define user decisions, assess risk, and break down problems into data, reasoning, actions, safety, and user experience components. The content helps identify dominant patterns for solutions, choose between RAG, fine-tuning, agents, workflows, classifiers, and generation methods, and design production-ready guardrails, evaluations, cost controls, and monitoring. Convert architecture into a phased checklist from scoping to data, orchestration, guardrails, launch, and operations. It includes interactive HTML and an offline PDF for flexible learning. Ideal for engineers and technical leaders who need to transition high-level business requirements into detailed, scalable, and reliable production deployments.