In this Hack Session, we’ll explore the evolution from large language models (LLMs) to agentic AI—highlighting how this shift opens the door to solving a new class of complex, dynamic problems. We’ll look at what makes agentic systems different, why they matter, and how they’re already transforming workflows and applications.

We’ll walk through a high-level use case and demonstrate how frameworks like CrewAI make designing, orchestrating, and deploying these systems easier. This session is meant to inspire developers, researchers, and builders to rethink how they approach problem-solving with LLMs—moving from one-off prompts to collaborative, goal-driven agents.