· Amit Kothari · AI
AI observability monitoring - why your dashboards miss what matters
Traditional monitoring catches when systems are down but misses when AI is confidently wrong. You need different metrics for systems that fail quietly - tracking output quality, user satisfaction, and model drift alongside uptime. Learn how to build ai observability monitoring that catches problems before users complain.