AI Agent Optimization: Reduce Token Usage 90% with Smart Data Pipelines

How to Optimize AI Agent Data Acquisition: Slashing Inefficient Token Usage by Over 90% If you are currently deploying AI Agents using tools like OpenClaw or Claude Code, you have likely encountered a frustrating phenomenon: the “Token Assassin.” You might ask your Agent to perform a seemingly simple task—such as retrieving the latest pricing for a SaaS product—only to find that a single request has consumed tens of thousands, or even hundreds of thousands, of tokens. This high cost of operation is often the primary barrier to scaling AI Agents from experimental toys to production-grade tools. But where does the …