Learned Style
Teach your agent to communicate in your brand's voice
Learned Style#
Learned Style allows your AI agent to communicate using your brand's unique voice and personality.
What is Learned Style?#
Instead of generic AI responses, Learned Style trains your agent to:
- Match your communication tone
- Use your brand's terminology
- Mirror how you actually talk to customers
- Maintain consistent personality
How It Works#
- Import Conversations: Upload real conversations from Facebook, Instagram, or email
- Analysis: AlonChat analyzes your communication patterns
- Style Generation: A personalized style prompt is created
- Application: Your agent adopts your communication style
Creating a Learned Style#
From Facebook Messenger#
- Export your Facebook Messenger data
- Go to Sources → Chat Training
- Upload the export file
- Select conversations to analyze
- Click Generate Style
From Instagram#
- Export your Instagram DM data
- Follow the same process as Facebook
Style Components#
| Component | Description |
|---|---|
| Tone | Formal, friendly, professional, casual |
| Language | Simple, technical, industry-specific |
| Formality | How formal vs informal |
| Emoji Usage | Whether and how to use emojis |
| Response Length | Short and concise vs detailed |
| Personality | Helpful, witty, empathetic, etc. |
Reviewing Your Style#
After generation:
- Go to Settings → Learned Style
- View the generated style profile
- Review example responses
- Adjust if needed
- Activate the style
Multiple Styles#
You can create multiple styles for different purposes:
- Support Style: Empathetic, solution-focused
- Sales Style: Enthusiastic, benefit-focused
- Technical Style: Precise, detailed
Switch between styles in agent settings.
Fine-Tuning#
Manual Adjustments#
Edit the style prompt directly to:
- Add specific phrases to use
- Add phrases to avoid
- Adjust tone levels
- Include brand terminology
Re-training#
If the style isn't quite right:
- Add more conversation data
- Click Regenerate Style
- Review and activate
Best Practices#
- Use quality conversations: Select your best customer interactions
- Include variety: Different types of questions and situations
- Review results: Check sample responses before activating
- Iterate: Refine based on feedback