Yogendra Miraje

This talk explores how to build planning agents for AI applications, focusing on agentic workflows that combine the flexibility of agents with the reliability of traditional workflows. The core thesis is that by moving beyond simple reactive agents to proactive ones, and by employing a "planning by sub-goal division" design pattern, developers can create more controlled, scalable, and enterprise-ready AI systems. The approach emphasizes leveraging existing enterprise microservices and robust evaluation frameworks.