Voice & AI Generation
Build your authentic voice profile from Twitter activity and generate AI-powered content that sounds like you.
What is Voice Analysis?
Voice Analysis examines your existing Twitter content to understand your unique communication style. By analyzing tone, word choice, sentence structure, and engagement patterns, we build a comprehensive voice profile that AI uses to generate content matching your authentic voice.
Voice Profile Components
Tone Scores
Measures your communication tone across six dimensions to understand how you typically engage with your audience.
- • Casual vs Professional
- • Provocative vs Supportive
- • Analytical vs Humorous
Style Features
Captures your writing style preferences including length, formatting, and special character usage patterns.
- • Average tweet length
- • Emoji frequency and placement
- • Hashtag usage patterns
- • Punctuation style
Opening Patterns
Identifies recurring phrases and hooks you use to start tweets, helping AI replicate your attention-grabbing techniques.
- • Common opening phrases
- • Hook patterns (3+ occurrences)
- • Question vs statement starters
AI Deep Analysis
Advanced semantic analysis that understands the deeper aspects of your communication style beyond surface-level patterns.
- • Communication style summary
- • Topics you frequently discuss
- • Engagement tactics you use
- • Unique characteristics
Building Your Voice Profile
Import Twitter Archive
Upload your tweets.js file from your Twitter data export. This provides historical data for comprehensive voice analysis.
Browser Extension Capture
The browser extension can capture tweets as you browse Twitter, automatically adding them to your voice training data.
AI-Assisted Content
Content you create with AI assistance is also tracked, creating a feedback loop that improves voice matching over time.
Process Voice Data
Click "Process Voice" to analyze pending activities and update your voice profile. Then run "AI Analysis" for deeper semantic insights.
AI Content Generation
Once your voice profile is established, AI generation features use it to create content that matches your authentic voice:
Tweet Generation
Create single tweets or threads that match your tone, style, and typical content patterns.
Reply Suggestions
Get contextual reply suggestions that maintain your voice while engaging authentically with others.
Blog Post Generation
Generate longer-form content from journal entries or content topics while preserving your writing style.
Newsletter Content
Create newsletter content that feels personal and matches your established communication style.
Managing Voice Training Data
Not all your tweets should contribute to your voice profile. You can exclude specific activities from voice training:
- •Toggle the "Include" switch next to any activity to exclude it
- •Excluded content won't influence your voice profile
- •Use filters to find and bulk-manage activities by source or type
- •Re-run voice processing after making changes to update your profile
Tips for Better Voice Matching
- 💡More data = better results. Aim for 100+ analyzed tweets for accurate voice matching.
- 💡Exclude retweets and one-word replies - they don't represent your authentic voice.
- 💡Run AI Analysis after accumulating 10+ analyzed activities for deep insights.
- 💡Re-analyze periodically as your writing style evolves.