Summarize QA testing news and send Telegram updates with Gemini and OpenAI

Description

🧠 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

Scheduled trigger
The workflow runs automatically every 3 hours.

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

Extract and normalize data
Extracts title, link, snippet, and publication date from each article.

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

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

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

AI summarization with fallback
Primary model: Google Gemini
Fallback model: OpenAI
Ensures a summary is always generated even if one model fails.

Send Telegram notification
Each message contains:
Article title
Source link
AI-generated summary

How to use this template

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