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Use specific, detailed prompts to get more accurate responses from LLMs and reduce token costs.

Adding constraints to your prompt (e.g., word count, specific keywords to include/exclude, format requirements) can often lead to more focused and useful outputs from the LLM.

When asking for code, specify the programming language and, if relevant, the version (e.g., 'Python 3.9', 'JavaScript ES6'). This helps avoid ambiguity and deprecated features.

Clearly list all constraints the output must satisfy. For example, 'Write a poem about a cat that is exactly 10 lines long and mentions the moon.'