A production RAG pipeline caused $47,000 in losses by confidently answering customer support tickets while ignoring the middle 40k tokens of its context window. The incident highlights a critical vulnerability in long-context LLM applications, where models exhibit "lost in the middle" behavior but maintain high confidence in their responses. This underscores the need for better context window management and validation strategies in enterprise AI deployments.