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

Maxim OsipovsMaxim Osipovs
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2/3/2026
AWS S3Email AutomationOpenAIDocument ManagementPDF Processing
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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:

  1. automated paper retrieval from ArXiv's API
  2. AI-powered relevance filtering and analysis via Google Gemini
  3. 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 Template Does (Step-by-Step)

  1. Runs on a configurable schedule (Tuesday-Friday) to fetch new papers from ArXiv's cs.AI category via their API.
  2. Uses Google Gemini with structured output parsing to analyze each paper's relevance based on your defined criteria for "applicable AI research."
  3. Generates concise, structured summaries for the three selected papers using a separate LLM call
  4. Aggregates three relevant paper's data and summaries into a single, readable digest

Important Notes

  • The workflow only runs Tuesday through Friday, as ArXiv typically doesn't publish new papers on weekends
  • Customize the "Paper Relevance Analyzer" criteria to match your specific research interests
  • Adjust the similarity threshold and selection logic to control how many papers are included in each digest

Required Integrations:

  • ArXiv API (no authentication required)
  • Google Gemini API (for relevance analysis and summarization)
  • Email service (SMTP or email provider like Gmail, SendGrid, etc.)

Best For:

🎓 Academic researchers tracking AI developments in their field 💼 ML practitioners and data scientists staying current with new techniques 🧠 AI enthusiasts who want curated, digestible research updates 🏢 Technical teams needing regular competitive intelligence on emerging approaches

Key Benefits:

✅ Automates daily ArXiv monitoring, saving 60+ minutes of manual research time ✅ Uses AI to pre-filter papers, reducing information overload by 80-90% ✅ Delivers structured, readable summaries instead of raw abstracts ✅ Fully customizable relevance criteria to match your specific interests ✅ Professional HTML formatting makes digests easy to scan and share ✅ Eliminates the risk of missing important papers in your field

Monitor AI Research Papers with Gemini-Powered Filtering and Email Summaries

This n8n workflow automates the process of staying updated on the latest AI research papers. It fetches new papers from arXiv, intelligently filters them using Google Gemini based on predefined keywords, and then compiles and sends a summary of relevant papers via email.

What it does

  1. Schedules a Trigger: The workflow is set to run on a predefined schedule (e.g., daily, weekly) to check for new papers.
  2. Fetches Latest AI Papers: It makes an HTTP request to the arXiv API to retrieve a list of the most recent AI research papers.
  3. Parses XML Data: The raw XML response from arXiv is parsed into a structured JSON format for easier processing.
  4. Filters with Google Gemini: Each paper is individually evaluated by a Google Gemini AI Agent. The agent uses a predefined prompt and a structured output parser to determine if the paper is relevant based on specified keywords (e.g., "Large Language Models", "Generative AI", "AI Ethics").
  5. Aggregates Relevant Papers: Papers identified as relevant by the AI Agent are collected.
  6. Generates Email Summary: A concise summary of all relevant papers is generated, including titles and links.
  7. Sends Email Notification: The generated summary is sent to a specified email address, providing a convenient digest of the latest relevant AI research.
  8. Error Handling: If any critical error occurs during the process, the workflow stops and reports the error.

Prerequisites/Requirements

  • n8n Instance: A running instance of n8n.
  • Google Gemini API Key: An API key for Google Gemini (configured as a credential in n8n).
  • SMTP Credentials: SMTP server details for sending emails (configured as a credential in n8n).
  • arXiv API: This workflow uses the public arXiv API, no specific account is needed, but understanding its query parameters is helpful.

Setup/Usage

  1. Import the Workflow:
    • Download the provided JSON file.
    • In your n8n instance, click "Workflows" in the left sidebar.
    • Click "New" -> "Import from JSON" and upload the downloaded file.
  2. Configure Credentials:
    • Locate the "Google Gemini Chat Model" node and configure your Google Gemini API key credential.
    • Locate the "Send Email" node and configure your SMTP credentials.
  3. Customize AI Filtering:
    • Open the "AI Agent" node.
    • Review and modify the System Message and User Message to refine the filtering logic and keywords for your specific interests (e.g., add or remove AI sub-fields).
    • Adjust the Structured Output Parser if you change the desired output format from the AI.
  4. Configure Email Details:
    • Open the "Send Email" node.
    • Set the To email address where you want to receive the summaries.
    • Customize the Subject and Body of the email if desired.
  5. Set Schedule:
    • Open the "Schedule Trigger" node.
    • Configure the desired interval for the workflow to run (e.g., every day, once a week).
  6. Activate the Workflow:
    • Click the "Activate" toggle in the top right corner of the n8n editor to enable the workflow.

The workflow will now automatically fetch, filter, and summarize AI research papers based on your configuration and send them to your inbox.

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