Kuldeep Paul

Multi-agent systems have become the standard architecture for complex AI applications. However, as these systems grow more sophisticated, understanding their behavior in production becomes increasingly challenging. Without proper observability and evaluation, teams face issues ranging from unexpected agent handoffs to degraded response quality, problems that only surface after deployment. This