# Classify LinkedIn posts as quality or slop with OpenAI: n8n workflow

> Started by another system calling it, and works across Qdrant. It puts OpenAI behind a retrieval step, so answers are drawn from documents you supply rather...

Source: https://millionrounds.com/workflow/classify-linkedin-posts-as-quality-or-slop-with-openai (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)

# Classify LinkedIn posts as quality or slop with OpenAI

Started by another system calling it, and works across Qdrant. It puts OpenAI behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 23 steps, 2 branches, 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%2Fclassify-linkedin-posts-as-quality-or-slop-with-openai)

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

**2** Branches: places the flow splits

**1** Loop or waits

**1** Service it connects to

## The flow

Starts it 3 Model 7 Logic 13

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

- 1 **Webhook** Webhook *Starts it*
- 2 **Structured Output Parser** Output Parser Structured *Model*
- 3 **Embeddings OpenAI** Embeddings Open Ai *Model*
- 4 **Default Data Loader** Document Default Data Loader *Model*
- 5 **OpenAI Chat Model** Lm Chat Open Ai *Model*
- 6 **Switch by action** Switch *Logic*
- 7 **Analyze posts** Chain Llm *Model*
- 8 **Store post** Vector Store Qdrant *Model*
- 9 **Retrieve similar posts** Vector Store Qdrant *Model*
- 10 **Split Out** Split Out *Logic*
- 11 **Respond to Webhook** Respond To Webhook *Starts it*
- 12 **Respond to Webhook1** Respond To Webhook *Starts it*
- 13 **Merge** Merge *Logic*
- 14 **Skip empty items** Filter *Logic*
- 15 **Filter by similarity score** Filter *Logic*
- 16 **Loop Over Items** Split In Batches *Logic*
- 17 **If similar posts found** If *Logic*
- 18 **Aggregate** Aggregate *Logic*
- 19 **Prepare fields** Set *Logic*
- 20 **Prepare output1** Set *Logic*
- 21 **Aggregate1** Aggregate *Logic*
- 22 **No Operation** No Op *Logic*
- 23 **Prepare output** Set *Logic*

## How it's built

- **Starts on:** Another system calling it
- **Steps:** 23, with 2 branches, 1 loop or waits
- **Size:** Large: read it before trusting it with anything live
- **Connects to:** Qdrant
- **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 Qdrant account, and a key for OpenAI. You connect your own accounts after importing it; none are included.

What starts it?

It starts on another system calling it.

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 23 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 23 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%2Fclassify-linkedin-posts-as-quality-or-slop-with-openai)
- **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.

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

## Workflows like it

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

- [**Generate AI News LinkedIn Posts with OpenAI and NewsAPI** 25 steps · calls a model · Gmail, Google Sheets](https://millionrounds.com/workflow/generate-ai-news-linkedin-posts-with-openai-and-newsapi)
- [**Books into 100+ social media posts with DeepSeek** 20 steps · calls a model · Google Drive, Qdrant](https://millionrounds.com/workflow/books-into-100-social-media-posts-with-deepseek)
- [**Build comprehensive entity profiles with Wikipedia** 27 steps · calls a model · Qdrant](https://millionrounds.com/workflow/build-comprehensive-entity-profiles-with-wikipedia)
- [**Create a private document Q&A system with Llama3 and Postgres** 17 steps · calls a model · Google Drive, Qdrant](https://millionrounds.com/workflow/create-a-private-document-q-and-a-system-with-llama3-and-pos)