Developer builds custom research pipeline to optimize AI token usage

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A developer at Quesma documented their experience building a custom deep research pipeline aimed at reducing AI token consumption. The project was motivated by the irony of spending significant token resources to investigate how to use tokens more efficiently. The work involved designing a structured pipeline to streamline how queries and context are handled in AI workflows. The findings and methodology were shared on the Quesma company blog as a practical guide for others facing similar cost and efficiency challenges.

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