# Daily Dermatology Watch: Automating Article Summaries: n8n workflow

> Started by a clock, and works across MongoDB, RSS and Telegram. It puts OpenAI behind a retrieval step, so answers are drawn from documents you supply...

Source: https://millionrounds.com/workflow/daily-dermatology-watch-automating-article-summaries (Millionrounds; every figure on the page links to its filing or article)

[Automation library](https://millionrounds.com/workflows) · [Content](https://millionrounds.com/workflows?category=Content#library)

# Daily Dermatology Watch: Automating Article Summaries

Started by a clock, and works across MongoDB, RSS and Telegram. It puts OpenAI behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 25 steps, 1 loop or waits: large, and worth reading before you trust it with anything live.

Large Calls a model: OpenAI Retrieval

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fdaily-dermatology-watch-automating-article-summaries)

**25 steps** Large: read it before trusting it with anything live

**0** Branches: places the flow splits

**1** Loop or waits

**3** Services it connects to

## The flow

Starts it 2 Model 5 Logic 7 Service 11

The steps in the order they run, from what starts it.

- 1 **OpenAI Chat Model1** Lm Chat Open Ai *Model*
- 2 **Simple Memory** Memory Buffer Window *Model*
- 3 **OpenAI Chat Model** Lm Chat Open Ai *Model*
- 4 **Search_tool** Http Request Tool *Service*
- 5 **Daily articles (17:00)** Schedule trigger *Starts it*
- 6 **Nightly quizzes (21:00)** Schedule trigger *Starts it*
- 7 **AI: Analyze article abstract** Agent *Model*
- 8 **AI: Generate dermatology MCQ** Agent *Model*
- 9 **RSS Read** Rss Feed Read *Service*
- 10 **Verifying Article DB** Mongo Db *Service*
- 11 **Find Quiz documents** Mongo Db *Service*
- 12 **"Parse AI JSON → Telegram format"** Code *Logic*
- 13 **Format quiz for Telegram API** Code *Logic*
- 14 **Merge** Merge *Logic*
- 15 **Code → "Normalize data for MongoDB"** Code *Logic*
- 16 **Send Telegram quiz poll1** Http Request *Service*
- 17 **Limit to 5 articles/day** Limit *Logic*
- 18 **Article DB** Mongo Db *Service*
- 19 **Send article summary** Telegram *Service*
- 20 **Send Telegram quiz poll** Mongo Db *Service*
- 21 **Delete documents** Mongo Db *Service*
- 22 **Process articles one by one** Split In Batches *Logic*
- 23 **Dermatology summary sent ✅** Telegram *Service*
- 24 **Quiz sent ✅** Telegram *Service*
- 25 **Loop exit (ignore)** No Op *Logic*

## How it's built

- **Starts on:** A clock
- **Steps:** 25, 1 loop or waits
- **Size:** Large: read it before trusting it with anything live
- **Connects to:** MongoDB, RSS, Telegram
- **Model:** OpenAI
- **Retrieval:** Answers are drawn from documents you supply, not from the model alone

## Questions

What does it need to run?

An n8n account, plus your own MongoDB, RSS and Telegram accounts, and a key for OpenAI. You connect your own accounts after importing it; none are included.

What starts it?

It starts on a clock.

Does it use AI?

Yes. It calls OpenAI. Its answers draw on documents you give it, not on the model alone. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Take your time. At 25 steps it is large: read it before trusting it with anything live.

How do I import it?

Copy the workflow, open a new workflow in n8n and paste. The steps appear on the canvas, ready for your own accounts.

**Before you run it**

Nothing here has been tested by us. It is somebody's working automation, read and described from its own steps. Treat the connections it wants as a list of accounts it will touch, and read the 25 steps before you point it at anything that matters.

## Run it in n8n

- **Create your n8n account** Free to start. n8n is where the workflow runs. [Create an n8n account ↗](https://millionrounds.com/n8n)
- **Download the workflow** Free with a Millionrounds account. [Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fdaily-dermatology-watch-automating-article-summaries)
- **Paste it into n8n** Open a new workflow in n8n and paste. Then connect your own accounts.

Stored with the author's traces removed: canvas notes, instance identifiers, saved credential names and any live document they had left behind.

## Connects to

Each opens the other workflows that use it.

[MongoDB](https://millionrounds.com/workflows?service=MongoDB#library)[RSS](https://millionrounds.com/workflows?service=RSS#library)[Telegram](https://millionrounds.com/workflows?service=Telegram#library)

## Workflows like it

Also content, with the same services where possible, closest in size first.

- [**Automate RSS-to-social media with Claude and Gemini** 25 steps · calls a model · Google Sheets, RSS](https://millionrounds.com/workflow/automate-rss-to-social-media-with-claude-and-gemini)
- [**Automated WordPress Blogger with Claude and OpenAI** 25 steps · calls a model · Google Sheets, RSS](https://millionrounds.com/workflow/automated-wordpress-blogger-with-claude-and-openai)
- [**Create & publish affiliate product videos with Sora-2** 25 steps · calls a model · Google Sheets, Telegram](https://millionrounds.com/workflow/create-and-publish-affiliate-product-videos-with-sora-2)
- [**Generate AI B-roll clips from videos with OpenAI** 25 steps · calls a model · Google Cloud Storage, Telegram](https://millionrounds.com/workflow/generate-ai-b-roll-clips-from-videos-with-openai)
- [**Generate LinkedIn posts with Telegram and Supabase** 25 steps · calls a model · LinkedIn, Supabase vectors](https://millionrounds.com/workflow/generate-linkedin-posts-with-telegram-and-supabase)
- [**Generating AI videos with VEO3 and Blotato** 25 steps · calls a model · Google Sheets, Telegram](https://millionrounds.com/workflow/generating-ai-videos-with-veo3-and-blotato)