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I taught Claude to talk like a "caveman" and ended up saving 70% of my output tokens

MakeUseOf benchmarked a community caveman plugin for Claude against normal and terse prompting, counting input and output tokens for a single prompt and then averaged across ten prompts.

Published 2026-07-18Source: MakeUseOf
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Why it matters

It is one of the rare token-savings claims somebody actually metered. The plugin's creator advertises 65%; the test shows that number only survives if you count output tokens and let a conversation run long enough to amortize the instructions.

Tokenmaxxing read

Output-only savings are the oldest move in the token-optimization pitch deck. Averaged over ten prompts, caveman took the total from 1,330 to 820 tokens, a 38% cut rather than 65%, while plain terse prompting reached 1,020 with no plugin and no input overhead.

Source takeaway

One writer, no published method, no error bars, so read the tables as directional. The single-prompt case is the honest counterexample: caveman's input ballooned to 600 tokens against 180 for a normal prompt, erasing most of the win.

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