Knowledge card L2 · Context engineering informational

Give Voice Samples So It Sounds Like You

What it is

A voice-matching technique: before asking for long-form prose, give ChatGPT two or three samples of your actual writing and have it draft in that style — showing your voice rather than describing it.

show, don't describePaste 2–3 of your samplesAsk it to name the patternsThen draft in that voice
Two or three samples teach voice better than any adjective list.

Why it works

Adjectives like 'conversational' or 'punchy' are ambiguous and the model interprets them generically. Real samples carry the specifics no description captures — sentence length, rhythm, how you open, your characteristic moves. Having it extract and then apply those patterns produces prose far closer to yours than any list of style words could.

When to use it

Long-form you want in your own voice — newsletters, blog posts, personal essays — especially when the writing represents you personally.

When not to use it

Neutral or house-style writing where your personal voice isn't wanted, and quick drafts where fit doesn't matter.

Prompt

Here are 2–3 samples of my writing: <paste>. First, describe the voice patterns you notice — sentence length, tone, opening moves, recurring habits. Then draft <the piece> in that voice, applying those patterns.

Example

After analysing three of your past newsletters, ChatGPT drafts the new issue with your habit of short opening hooks and mid-paragraph asides intact — not generic newsletter prose.

Advanced version

Save the voice description it produces and reuse it as a reusable style brief — or drop it into a Project's instructions — so every future draft starts from your voice without re-pasting samples.

Common mistakes

  • Describing your voice in adjectives instead of showing samples.
  • Giving one sample, too little to reveal consistent patterns.
  • Skipping the 'name the patterns' step, so the model copies surface, not structure.

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