AI-Powered Information Monitoring with OpenAI, Google Sheets, Jina AI and Slack

Nodes

+5

📌 Purpose

This workflow enables automated and AI-driven topic monitoring, delivering concise article summaries directly to a Slack channel in a structured and easy-to-read format.
It allows users to stay informed on specific topics of interest effortlessly, without manually checking multiple sources, ensuring a time-efficient and focused monitoring experience.

To get started, copy the Google Sheets template required for this workflow from here.

🎯 Target Audience

This workflow is designed for:

Industry professionals looking to track key developments in their field.
Research teams who need up-to-date insights on specific topics.
Companies aiming to keep their teams informed with relevant content.

⚙️ How It Works

Trigger: A Scheduler initiates the workflow at regular intervals (default: every hour).
Data Retrieval:
- RSS feeds are fetched using the RSS Read node.
- Previously monitored articles are checked in Google Sheets to avoid duplicates.
Content Processing:
- The article relevance is assessed using OpenAI (GPT-4o-mini).
- Relevant articles are scraped using Jina AI to extract content.
- Summaries are generated and formatted for Slack.
Output:
- Summaries are posted to the specified Slack channel.
- Article metadata is stored in Google Sheets for tracking.

🛠️ Key APIs and Nodes Used

Scheduler Node: Triggers the workflow periodically.
RSS Read: Fetches the latest articles from defined RSS feeds.
Google Sheets: Stores monitored articles and manages feed URLs.
OpenAI API (GPT-4o-mini): Classifies article relevance and generates summaries.
Jina AI API: Extracts the full content of relevant articles.
Slack API: Posts formatted messages to Slack channels.

This workflow provides an efficient and intelligent way to stay informed about your topics of interest, directly within Slack.