How to build large-scale, deterministic, high-quality conversational workflows with small/free models

This talk will go over the challenges of intent detection, parameter extraction and human-in-the-loop interaction for conversational workflows and how to solve them in the context of building co-pilots for existing applications. We will then demonstrate how to build non-trivial AI co-pilots for such workflows using an open-source framework called fastWorkflow. Finally, we will review the performance of fastworkflow vs. large models on the Tau Bench retail workflow to additionally demonstrate its effectiveness as an agentic platform.