Monitor AI model performance and improve quality through data-driven insights.
• Reinforcement Learning Approach: Like training an AI model, we track what works and what doesn't
• Input/Output Recording: Every AI interaction is recorded with prompts, responses, and performance metrics
• Quality Scoring: Automated assessment of relevance, coherence, completeness, and accuracy
• Continuous Improvement: Recommendations generated from successful patterns vs failures
All quality data is stored anonymously for AI training purposes. No personal information, contact details, or business-specific content is collected. Only anonymous AI interaction patterns, quality metrics, and performance data are tracked to improve model performance.