voice-dna-creator

• Setting up a new writing system
• Creating voice profiles for clients (ghostwriting)
• Updating voice profiles after style evolution
• Onboarding into content creation workflow

The user must provide:

• Minimum: 3 writing samples (500+ words each)
• Ideal: 5-10 samples across different content types
• Best: Mix of casual (social posts) and formal (articles) content

Step 1: Collect Samples

Ask: "Please share 3-10 writing samples that represent your authentic voice. These can be:

• Newsletter issues
• Blog posts
• Social media posts
• Emails you've written
• Any content where you feel 'this sounds like me'

Paste them here or point me to files in the knowledge folder."

Step 2: Analyze Core Elements

For each sample, analyze:

Personality Markers

• What personality traits come through?
• What's the energy level?
• How does the writer relate to the reader?

Emotional Range

• What emotions are expressed?
• How intense are they?
• What's the dominant emotional tone?

Communication Style

• Formality level (casual to professional)
• Sentence length patterns
• Paragraph structure
• Use of questions, commands, statements

Language Patterns

• Signature phrases that repeat
• Power words used frequently
• Transition phrases
• Opening and closing patterns

What They Avoid

• Words or phrases never used
• Tones never taken
• Approaches avoided

Formatting Habits

• Emoji usage
• List usage
• Header styles
• Bold/italic patterns

Step 3: Synthesize Findings

Combine analysis across all samples to identify:

• Consistent patterns (appear in most samples)
• Contextual variations (change based on content type)
• Core voice elements (never change)

Step 4: Generate Voice DNA

Create the profile following this structure:

```json

{

"voice_dna": {

"version": "1.0",

"last_updated": "YYYY-MM-DD",

"core_essence": {

"identity": "",

"primary_role": "",

"unique_angle": ""

},

"personality_traits": {

"primary": [],

"how_it_shows": {}

},

"emotional_palette": {

"dominant_emotions": [],

"emotional_range": {},

"energy_level": ""

},

"communication_style": {

"formality": "",

"complexity": "",

"sentence_structure": {},

"paragraph_style": ""

},

"language_patterns": {

"signature_phrases": [],

"power_words": [],

"words_to_avoid": [],

"transitions": []

},

"never_say": {

"phrases": [],

"tones": [],

"approaches": []

},

"formatting_preferences": {},

"content_philosophy": {},

"voice_examples": {

"opening_lines": [],

"closing_lines": [],

"transitional_phrases": []

}

}

}

```

1. After analysis, present key findings in a summary

1. Generate the complete JSON voice profile

1. Save to /context/voice-dna.json

1. Provide 3 example sentences written in the captured voice for validation

1. Ask: "Does this capture your voice? What would you adjust?"

• Focus on TONE and PERSONALITY, not just word choice
• Avoid creating a profile that just repeats phrases
• Capture the "feeling" of the writing, not just patterns
• Include what NOT to do (equally important)
• Make the profile actionable for content generation

After creating the profile, write a short paragraph on any topic using ONLY the voice DNA as guidance. Ask the user: "Does this sound like you?"

If not, iterate on the profile based on feedback.

• Don't just list frequently used words
• Don't create a parody of the voice (too exaggerated)
• Don't ignore context (social posts ≠ articles)
• Don't miss the underlying personality
• Don't forget emotional elements