🧠 AI-Powered QA News Feed

Who this workflow is for

QA Engineers, SDETs, and automation enthusiasts who want to stay updated with the latest testing news without manually monitoring multiple blogs and communities.

What this workflow does

This automation collects QA-related news from multiple RSS feeds, filters relevant articles, generates AI summaries, and sends concise updates to a Telegram channel.

It runs automatically every 3 hours and ensures that only relevant and non-duplicate updates are shared.

How it works

1. Scheduled trigger

   • The workflow runs automatically every 3 hours.

2. Fetch RSS feeds

   • Reads QA news from multiple sources such as:
     • The Test Tribe
     • Medium QA tag
     • Cypress blog
     • Dev.to

3. Extract and normalize data

   • Extracts title, link, snippet, and publication date from each article.

4. Filter relevant content

   • Filters articles based on:
     • Publication date
     • QA-related keywords (Testing, Quality, Playwright, etc.)

5. Remove duplicates

   • Removes duplicates within the current execution.
   • Prevents sending the same article across multiple executions.

6. Process in batches

   • Articles are processed in batches of 5.
   • A short delay is added to avoid API rate limits.

7. AI summarization with fallback

   • Primary model: Google Gemini
   • Fallback model: OpenAI
   • Ensures a summary is always generated even if one model fails.

8. Send Telegram notification

   • Each message contains:
     • Article title
     • Source link
     • AI-generated summary

How to use this template

1. Import the workflow into your n8n instance.
2. Configure the following credentials:
   • Telegram Bot API
   • Google Gemini API
   • OpenAI API (fallback model)
3. Update the Telegram chat ID to your channel or group.
4. Activate the workflow.

What you get

✔ Automated QA news monitoring
✔ AI-generated summaries
✔ Duplicate-safe notifications
✔ Resilient AI fallback system
✔ Zero manual effort once activated