Aentic workflows are processes where AI agents dynamically plan, execute, and reflect on steps to achieve a goal, differentiating them from static, predefined workflows.

Augmented LLMs, which serve as a base building block, are enhanced with capabilities like tool use and memory, enabling the creation of these more complex agents. This episode also distinguish between an agentic workflow, the sequence of steps, and the agentic architecture, the underlying system allowing multiple workflows to run securely and effectively at scale, highlighting the benefits and challenges of implementing such systems.