Check Legal Regulations:

This workflow involves scraping, so ensure you comply with the legal regulations in your country before getting started. Better safe than sorry!

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.

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.