Scientific Principles of Training
Sintra uses "style transfer learning" technology to extract linguistic DNA by analyzing the brand's historical content (official website, social media, etc.), including: sentence complexity, emotional tendency, terminology usage frequency, and other 12 dimensional features.
Optimization Guide
- basic training
Upload 5-10 representative pieces of copy (e.g., product descriptions, blog posts) and use the Style Extractor to generate brand voiceprints - fine tune
In the "Tone Lab":- Setting the level of formality (1-10)
- Disable specific vocabulary (e.g., avoid competitor terminology)
- Define preferred terminology (e.g., "user" vs. "customer")
- Continuous optimization
Run "Style Deviation Detection" every month and AI will flag output that differs from the brand standard by more than 151 TP3T for review
special skill
For multi-language brands, style guides for each language can be uploaded in "Dialect Adaptation". When encountering important marketing activities, it is recommended to turn on the "Temporary Style Enhancement" mode to improve the consistency standard.
This answer comes from the articleSintra: The Intelligent Assistant Platform for Automating WorkflowsThe
May not be reproduced without permission:AI productivity tools " How can I improve the consistency of the Sintra AI assistant's output with the brand's voice?
