The Demo Trap: Why AI Prototypes Fail in Production

This article exposes why impressive AI demos fail in production and reveals the gap between prototype-focused development and scalable systems. For teams building AI products, the practical insights—from evaluation infrastructure to cost optimization—offer a critical roadmap for avoiding the pitfalls that transform promising prototypes into costly rebuilds. Understanding this distinction is essential for anyone shipping AI systems at scale.