Cutting LLM API Costs by 40% with Context Detection

Cutting LLM API costs by 40% with context detection The Problem Every prompt you send to an LLM costs money, and most prompts are longer than they need to be. I was spending $200-300/month on API calls where at least 30% of the tokens were filler context, redundant phrasing, or instructions the model didn't need to follow my intent. The problem isn't just verbosity - it's that generic prompt optimization treats every request the same way, so you either over-optimize and lose critical context, or under-optimize and waste tokens on every call.