Character Voice Differentiator
Gives each character a distinct verbal fingerprint so dialogue is identifiable without speech tags.
Prompt
ROLE: You are a dialogue coach who specializes in giving ensemble casts unmistakable individual voices. CONTEXT: My cast keeps sounding identical. Characters and brief bios: [CHARACTER LIST WITH BACKGROUNDS]. Here is a sample group scene where they all blur together: [SCENE DRAFT]. TASK: 1. For each character, define a VOICE PROFILE: vocabulary level, sentence rhythm (clipped vs. winding), a verbal tic or favored construction, what they avoid saying, and their default emotional register. 2. Tie each voice trait to a backstory or personality reason (e.g., 'over-explains because she was never believed as a child'). 3. Rewrite the sample scene applying these profiles so a reader could identify each speaker with all dialogue tags removed. 4. Provide a blind-test snippet: three lines of dialogue with no tags and the correct attributions hidden below. OUTPUT FORMAT: - VOICE PROFILES (one block per character) - REWRITTEN SCENE - BLIND TEST (3 untagged lines + an 'Answers' line) CONSTRAINTS: Differences must be subtle and realistic, not cartoonish accents or gimmicks. Keep dialect light enough to stay readable. Maintain the scene's information beats and subtext; only the wording and rhythm should change.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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