Tokenmaxxing: The Problem and Ontology-Based Solutions

This article addresses the tokenmaxxing problem in AI agent usage, examining why token consumption explodes during agentic tasks and showing that input tokens — not output — drive costs, with dependency exploration being a major culprit. The author proposes ontology-based systems as a solution, allowing agents to query structured entity relationships rather than searching through unstructured text, with academic and industry data showing up to 10x token compression improvements. Alibaba Cloud’s STAROps platform is presented as a practical AIOps implementation of this approach.