Rewrite the source text below in the voice demonstrated by the examples. Then, in a separate section called 'Style notes I applied,' list the 5-8 specific moves you used (sentence length, banned words, openings, anything else you noticed in the examples). Examples of the target voice: {{voice_examples}} Source text to rewrite: {{source_text}}
Rewrite in another voice (with examples)
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the prompt
Example output
Rewritten in the target voice:
We shipped Postgres 17 support today. Logical replication now handles row filtering on the subscriber side, which means you can finally drop most of your ETL glue code. Schema changes still need a heads-up - we have not solved that one - but for everything else, the integration is one config flag.
Style notes I applied: short sentences, no marketing verbs, name what's still broken alongside what's new, no exclamation marks, no 'we are excited to announce.'
Common mistakes
Don't paste fewer than three examples - one example produces mimicry, three+ produces a learned pattern. Also: don't use this on copy that has its own constraints (legal disclaimers, contractual language, scientific claims). The model will smooth over precision in service of voice. Use it for emails, blog posts, release notes, social posts - not for anything that has to be technically exact.
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Why it works
Voice transfer is one of the few things AI does well and most people use badly. The mistake is asking for a 'tone' ('make this more friendly'). The fix is giving the model 3-5 examples of the target voice and letting it infer the pattern. This prompt formalizes that. The output is two things: the rewrite, and a short style guide describing what changed. The style guide matters - it lets you reuse the voice on the next piece without re-pasting examples. Pair this with the brand-voice extractor pattern from any marketing pack: extract once, apply everywhere.