Agent cuts token usage by 66% and time by half using Minibase tool
jeff_weinstein · x · 2026-09-02
Jeff Weinstein shared a case study on optimizing agent performance by integrating external tools. While building a site to track allergen-friendly menus in NYC restaurants, the agent needed to parse complex menus. Benchmarking showed that relying solely on the LLM took 8-10 minutes and burned significant tokens. In contrast, using Minibase (a URL-to-Markdown converter via @mpp) reduced the time to 4-5 minutes, cut token usage to one-third, and cost only $0.04. This demonstrates that using specialized, pay-per-call tools is often more efficient than "burning tokens" for workarounds in agent workflows.
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