# Quality Assurance and Feedback

### False Positive Reporting

QuillShield includes mechanisms for continuous improvement:

* Telegram integration for direct bug reporting
* Community feedback collection through embedded links
* AI model refinement based on user input

### Continuous Learning Framework

QuillShield employs reinforcement learning to improve accuracy:

* Learns from each contract reviewed
* Adapts to new threat patterns
* Incorporates community feedback for model enhancement
