This post guides you through architecting an AI-powered research automation system using a low-code approach. It shows you how to integrate n8n for workflow orchestration, Groq for high-speed LLM inference, and five different academic APIs to automatically query, analyze, and process research data, accelerating the entire R&D-to-publication cycle.