The development of robust AI agent workflows is critical for realizing desired results. This process typically involves defining clear objectives and breaking them down into discrete tasks. A well-designed workflow should incorporate mechanisms for error correction, dynamic adjustment to changing conditions, and consistent tracking of agent actions