Moving AI From Notebook to Production Without Losing Your Mind

This article analyzes why AI-built applications optimized for rapid iteration often fail in production when scaling past 10,000 users. It highlights issues like proprietary formats, lack of deployment history, and poor CI/CD, which stem from builders prioritizing speed over production readiness.