Guides
Evergreen study guides on AI concepts - written to build understanding, not just familiarity.
Your Model Hit 99% Accuracy. Then You Shipped It.
March 2, 2026
Your training loop finished. Loss curve looked clean. Accuracy: 99.3%. Then production happened. 58%. This guide walks through why dataset filtering is the most consequential decision in your pipeline -- and why most developers make it without realizing they made it at all.
RAG Works in Theory. Here's Why It Fails in Production.
March 2, 2026
Your RAG pipeline worked in the notebook. Then real users showed up. This guide walks through the failure modes that don't appear until production -- bad chunking, misleading similarity scores, context window abuse -- and how to think about fixing each one.