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  1. AI agents talk too much and read too much: caveman 4.0 splits into six rocks and cuts 63 tokens to 20

    caveman 4.0 turns a single output-shortening tool into six separately switchable parts that are all on after install, aiming to make AI agents say less, read less, and run on less. It leaves prompts alone because Adobe found that compressing prompts makes answers worse, and it leaves code and tool calls alone because JetBrains found agent sessions are mostly code and tool calls. On ten developer questions, with "Be concise" as the real baseline, /caveman cuts 3% more at the median and /ultracave 35% more, and 63 tokens become 20 for the same answer.

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