Extract a written brand voice spec from sample copy
Brand voices written in workshops are vague. Brand voices reverse-engineered from copy that's working are usable.
Read the sample copy below — these are pieces our brand has published that we like. Extract a written voice spec.
Samples:
{{SAMPLES}}
Produce a voice spec with:
1. Three core voice attributes (e.g., 'plainspoken', 'opinionated', 'warm but exacting'). Each with a one-line definition.
2. For each attribute: 2 do's and 2 don'ts, drawn from the samples.
3. Diction inventory: 10 words we use often, 5 words we'd never use, 3 punctuation habits.
4. The reading-grade level (estimate).
5. A 'voice anti-pattern' paragraph — what our voice is NOT — written in the wrong voice for contrast.
The final output should be a single doc usable by a new copywriter on their first day. {{SAMPLES}}
How to use this prompt
- Copy the prompt above (Copy button on the top-right).
- Replace each
{{VAR}}with your own value. Variables:{{SAMPLES}}. - Paste it into one of the recommended tools below.
- Iterate: tighten constraints in the prompt if the output is generic.
Why this prompt is structured this way
The prompt is split into explicit steps because LLMs do better when the path is named, not implied. Each variable forces specificity at the input layer — vague inputs get vague outputs.
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