I will reduce your llm API costs by 10x with semantic caching

Full audit of your LLM workflow I analyze where your system wastes API calls, identify redundant or near-identical requests, and deliver a concrete cost reduction plan with expected savings. Based on a production system that achieved 16x GPU call reduction with 94% accuracy maintained. What you get: - Complete analysis of one workflow end-to-end - Identification of caching opportunities and inefficient routing - Model and architecture recommendations - Action plan with realistic cost reduction estimates - 60 min consulting call to walk through findings What I need from you: - Your workflow description - Logs or trace export (any format) - Current stack and provider