SparseRead cuts agent token use by up to 92.9% by deciding what to read before reading

aigclink · x · 2026-11-13

SparseRead targets AI agents' 'ineffective reading': up to 92.9% token savings and 89% less time with maintained quality. Instead of compressing after reading, it decides what deserves to enter context: clarify reading intent (what evidence exists vs. missing), locate evidence on demand with targeted search/partial reads per material type, and control the reading budget before content enters context, expanding or falling back to full reads only when needed. Its key value is being a reading-control mechanism in the agent harness rather than just another search tool.

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