AI Engineer’s Field Guide

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Most AI initiatives falter early when teams select tools like a model or vector database before defining the core business objective. This Field Guide reverses that approach with a top-down methodology, aligning any challenge to five foundational pillars: Data, Intelligence, Orchestration, Guardrails, and User Experience. It provides decision frameworks for key choices such as RAG versus fine-tuning, agents versus single calls, and data chunking strategies. The guide also contains a staged implementation plan with cloud integrations and a ten-step playbook for production incidents. Available as an interactive HTML document and an offline PDF.