Monitor AI research papers with Gemini-powered filtering and email summaries

This n8n workflow template implements an intelligent research paper monitoring system that automatically tracks new publications in ArXiv's Artificial Intelligence category, filters them for relevance using LLM-based analysis, generates structured summaries, and delivers a formatted email digest. The system uses a three-stage pipeline architecture: automated paper retrieval from ArXiv's API AI-powered relevance filtering and analysis via Google Gemini Intelligent summarization with HTML formatting for clean email delivery This eliminates the need to manually browse ArXiv daily while ensuring you only receive summaries of papers genuinely relevant to your research interests. What This Templat

Help me set up the n8n workflow "Monitor AI research papers with Gemini-powered filtering and email summaries" (https://n8n.io/workflows/9859). It uses: Send Email, HTTP Request, Code, AI Agent, Structured Output Parser, Google Gemini Chat Model, Google Gemini. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.