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Open source · Python

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Controlling an LLM's style and tone

Models have a default voice, and it rarely matches yours. Style control means telling the model how to write, not just what to write: the tone, the reading level, sentence length, words to use or avoid, and the structure of the result.

A short style guide in the prompt, with an example and a check of the output against its rules, works better than adjectives like “professional” or “friendly”. For finer control, directional stimulus prompting adds hints such as keywords the answer should include. These guides cover writing a style guide prompt, keeping style and density consistent across long documents, and steering output with hints.

[n.01/02]> 3 guides
  1. 01LLM Tone and Style: Write a Style Guide PromptControl LLM tone, voice and length with a style guide in the system prompt: rules, banned words, one example and code checks. Real before-and-after output.Beginner · 6 minOct 18, 2026
  2. 02Long-Form LLM Writing: Control Length, Structure, StyleGenerate long-form content with an LLM: outlines with word budgets, one section per call, style rules you can check in code. Real 1,200-word example.Intermediate · 8 minOct 18, 2026
  3. 03Directional Stimulus Prompting: Steer Output with HintsDirectional Stimulus Prompting explained: add a per-input hint, such as keywords, to steer what the model writes. Paper method plus a prompt-only build.Advanced · 7 minOct 18, 2026
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