AI pipeline costs 10x after demo

AI systems often hide costs until production, when inefficient architecture drives token usage far beyond demo levels. Reducing expenses usually means cutting unnecessary tokens, not switching to a cheaper model. The most expensive bug may be thousands of unnoticed tokens, not hallucinations.