I burned all my tokens researching how to save tokens
Why CEREBRO kept it
Direct token optimization meta; core LLM mechanics
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I burned all my tokens researching how to save tokens At Quesma we are researching the economics of AI agents: what agentic coding really costs and what you can do about it. For this research I am running my own deep research setup, a pipeline of agents that builds a knowledge base I can actually trust. The first version of this setup burned the whole limit of my Claude Max 5x plan in 30 minutes. This post is the story of how I fixed the cost and the trust, using only subscriptions I already pay for, and how you can build the same. My goal was to understand the entire state of so-called tokeno
Community take
Dynamic prompts disable caching; static retrieval saves more tokens than micro-optimizations.
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