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$2.49
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v1
Strips filler, hedging, and pleasantries from Claude responses — reducing output tokens by up to 45% while sharpening technical precision. Ideal for cost optimization, high-volume pipelines, and engineers who want answers, not essays.
1. Set {role} and {domain} precisely — the more specific the persona, the more the model drops generic hedging and speaks from authority. 'senior SRE' outperforms 'expert'. 2. Use {max_length} as a forcing function on complex tasks: setting 150 words on a simple question eliminates padding without truncating real content. 3. Combine with system-level caching: because this prompt produces deterministic, dense outputs, cache-hit rates on repeated queries improve significantly — compounding your token savings.
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