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Optimizing LLM Performance Through Brevity and Prompt Engineering

Why does talking like a caveman actually work? Three things happening at once: → LLMs spend 40-60% of output tokens on filler. Greetings, restatements, encouragement, transitions. You scroll past all of it. Caveman strips it. → A March 2026 paper found that brevity

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