"The file, called Claude.md and available under an MIT license, outlines a set of structured instructions that claim to reduce Claude's output verbosity by about 63% without any code modifications."
"The rationale is straightforward: eliminate what Reddy describes as Claude's 'frivolous' habits, stripping out everything that isn't strictly necessary."
"At scale, that kind of austerity, according to Reddy, could translate into meaningful savings, turning small stylistic trims into outsized efficiency gains."
Drona Reddy, a data analyst at Amazon US, created a markdown file named Claude.md that reduces Claude's output verbosity by approximately 63% without altering code. The file imposes strict behavioral constraints, focusing on token efficiency and accuracy while eliminating unnecessary responses. It prevents automatic pleasantries, boilerplate sign-offs, and stylistic quirks that can disrupt parsers. This approach aims to enhance efficiency and reduce costs for enterprises utilizing AI in production, with potential significant savings from these adjustments.
Read at InfoWorld
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