[AWS UG] Beyond LLMs: Decision Models for Smarter AI Agents

This session introduces decision models and explores how they can improve AI agent workflows beyond traditional LLM-based reasoning. Using Jev, Bharadwaj will show us how decision-making can become a structured part of an agentic architecture, with practical examples of integrating Jev into existing workflows. The session will include an architecture walkthrough and a hands-on demonstration to help attendees understand where decision models fit and when they are useful. What to expect: \- Live demos \- Snacks \- Networking