You can replace expensive LLM calls in repetitive business processes with rule-based code by learning decision logic from agent execution traces—achieving near-agent performance at a fraction of the latency and cost.
ReTrace converts LLM agent workflows into fast, cost-efficient code-based processes by extracting decision rules from agent reasoning logs. It analyzes why agents took actions, distills these explanations into compact rule documents, and generates executable workflows that run 130x faster at 24% lower cost while maintaining 93.8% success on production tasks.