Voice Match From Samples
Analyses your actual writing into a reusable style specification, then drafts in it — so the voice is derived rather than described.
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Running it, start to finish
- Gather three substantial samples plus one that sounded wrong.
- Check the extracted rules against your own sense of your writing.
- Keep the rules and reuse them rather than re-deriving them.
What you get back
The output this produces, every time.
- Derives voice from your actual sentences rather than from adjectives that describe every writer.
- Uses an off-voice sample to isolate what specifically differs, which is often more diagnostic than the good samples.
- Produces ten checkable rules you can reuse on every future draft.
Getting better results
Where this usually goes wrong, and how to avoid it.
- Include the off-voice sample. Something you wrote that felt wrong, or that an editor rewrote. It is the highest-value input and the one people skip.
- Save section 3. The ten rules are the durable output. Paste them into any future writing prompt instead of re-running this analysis.
- Use long enough samples. Several hundred words each. Short samples produce a specification built on noise, especially for punctuation habits.
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Written for The AI University. Every prompt in this library is original work — authored, tested and revised here, not collected from elsewhere. 365 of them, free with an account.