Why 73% of LLM API Calls Are Overpaying

Last month, my AI app silently retried failed requests 4x on GPT-4o. One broken JSON cost me $0.40. I was burning $600/month on failures I didn't even know about. When I finally ran a stress test, my model scored 14 out of 100. That's when I realized: most AI teams are overpaying for API calls, and they have no idea. Here is the math, the architecture, and the fix. The Problem: The Blind Spot Most developers test five happy paths in staging and ship. They trust the LLM output blindly. This approach overlooks a significant hidden tax of LLM APIs: the inherent retry rate.