Characterizing Large Language Model Agentic Workflows: A Study on N8n Ecosystem
This study analyzes more than 6,000 publicly available n8n workflows and examines four aspects of their design: task distribution, structural and tool use patterns, reliability mechanisms, and autonomy levels to reveal a gap between the increasing deployment of LLM agents in practical automation ecosystems and the limited engineering support for reliability, safety, and governance.