AI-Powered RSS Monitoring and Slack Summarization

Industry Professionals: Those who need to stay updated on specific developments in their field, such as AI or data science.
Research Teams: Groups requiring timely insights on particular topics to enhance their research capabilities.
Companies: Organizations looking to keep their teams informed with relevant content without manual effort, ensuring a streamlined communication process.

This workflow addresses the challenge of information overload by automating the monitoring of specific topics through RSS feeds. It delivers concise summaries of relevant articles directly to a Slack channel, allowing users to stay informed without the need to manually check multiple sources. This leads to a time-efficient and focused approach to information gathering.

1. Trigger: The workflow is initiated by a Scheduler that runs every 15 minutes to check for new articles in the monitored RSS feeds.
2. Data Retrieval:
   • The workflow retrieves the list of RSS feed URLs from Google Sheets.
   • It checks the article database in Google Sheets to avoid processing duplicate articles.
3. Content Processing:
   • The articles are read from the RSS feeds.
   • Each article's relevance is assessed using OpenAI's GPT-4o-mini model.
   • Relevant articles are scraped for content using Jina AI.
   • Summaries are generated and formatted for Slack.
4. Output:
   • The summaries are posted to a designated Slack channel for easy access.
   • Metadata about the articles is stored in Google Sheets for tracking and reference.