I burned all my tokens researching how to save tokens

A researcher shares their experience optimizing token usage for AI agent pipelines after hitting usage limits during deep research. The author details a method for using shared memory across multiple AI subscriptions to improve cost-efficiency and research reliability.
Download PNG 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.
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