Characterizing Large Language Model Agentic Workflows: A Study on N8n Ecosystem
Large Language Models (LLMs) are rapidly being adopted in low-code and no-code automation platforms, where non-expert users design workflows that combine natural language understanding with external services and APIs. LLM agents are LLM systems that use LLMs as a core "brain" to reason, plan, and autonomously execute complex, multi-step tasks. In this paper, we present the first large-scale empirical study of LLM agentic workflows in low-code automation platforms. We analyze more than 6,000 publ
Record details
Published: 27 June 2026
Source: arXiv
Category: Research
Topics: Jobs & economy · Agents & autonomy
Retrieved: 14 July 2026
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ethics.ai (27 June 2026), “Characterizing Large Language Model Agentic Workflows: A Study on N8n Ecosystem,” evidence record 481, https://ethics.ai/record/481 (originally published by arXiv).
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