TECH NEWS
LLM Cost Optimization: Your Bill Is an Architecture Problem, Not a Prompt Problem
You launch an LLM feature. Users like it. Usage grows. Someone adds conversation history. Someone else adds RAG. Then tools. Then retries. Then an evaluator that uses another LLM. A few months later, finance asks a question engineering teams increasingly have to answer: Why is the AI bill growing faster