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