# Technical Components

* **Machine Learning Models**
  * Models like **BERT** or **GPT** are fine-tuned with a dataset of woke and non-woke posts for high accuracy.
  * Training includes examples of posts categorized by human reviewers to teach the model how to detect nuanced ideological content.
* **Database and Feedback Loop**
  * A database stores flagged posts for continuous improvement.
  * Users can provide feedback on flagged posts to refine the AI’s accuracy.
* **Integration with Social Media APIs**
  * The AI is integrated with Twitter’s API for real-time monitoring and automated retweets.
  * Retweet actions are programmed to include the "Woke Mark" consistently for brand recognition.
