# AI LinkedIn content agent with Claude and OpenAI: n8n workflow

> Started by a clock, and works across Linear and Supabase vectors. It puts Claude and OpenAI behind a retrieval step, so answers are drawn from documents you...

Source: https://millionrounds.com/workflow/ai-linkedin-content-agent-with-claude-and-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)

# AI LinkedIn content agent with Claude and OpenAI

Started by a clock, and works across Linear and Supabase vectors. It puts Claude and OpenAI behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 15 steps: a working afternoon to understand properly.

Medium Calls a model: Claude, OpenAI Retrieval

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fai-linkedin-content-agent-with-claude-and-openai)

**15 steps** Medium: a working afternoon

**0** Branches: places the flow splits

**0** Loops or waits

**2** Services it connects to

## The flow

Starts it 1 Model 11 Service 3

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

- 1 **Previous LinkedIn Post** Http Request Tool *Service*
- 2 **OpenAI Chat Model2** Lm Chat Open Ai *Model*
- 3 **Embeddings OpenAI** Embeddings Open Ai *Model*
- 4 **Anthropic Chat Model** Lm Chat Anthropic *Model*
- 5 **Structured Output Parser** Output Parser Structured *Model*
- 6 **Get many issues in Linear** Linear Tool *Service*
- 7 **Schedule Trigger** Schedule trigger *Starts it*
- 8 **Think** Tool Think *Model*
- 9 **Anthropic Chat Model1** Lm Chat Anthropic *Model*
- 10 **Post Writer** Agent Tool *Model*
- 11 **Supabase Vector Store1** Vector Store Supabase *Model*
- 12 **Supabase Vector Store** Vector Store Supabase *Model*
- 13 **Master Agent** Agent *Model*
- 14 **Context Agent** Agent Tool *Model*
- 15 **Create an issue** Linear *Service*

## How it's built

- **Starts on:** A clock
- **Steps:** 15
- **Size:** Medium: a working afternoon
- **Connects to:** Linear, Supabase vectors
- **Model:** Claude, 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 Linear and Supabase vectors accounts, and a key for Claude and 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 Claude and 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?

Plan an afternoon. 15 steps is enough that you should read each one before running it.

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 15 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%2Fai-linkedin-content-agent-with-claude-and-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.

[Linear](https://millionrounds.com/workflows?service=Linear#library)[Supabase vectors](https://millionrounds.com/workflows?service=Supabase+vectors#library)

## Workflows like it

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

- [**Generate Twitter content in personal style with OpenAI** 14 steps · calls a model · Supabase vectors](https://millionrounds.com/workflow/generate-twitter-content-in-personal-style-with-openai)
- [**Scrape and ingest web content into Supabase pgvector** 18 steps · calls a model · Supabase, Supabase vectors](https://millionrounds.com/workflow/scrape-and-ingest-web-content-into-supabase-pgvector)
- [**Auto post blogs to LinkedIn and Twitter with Claude and OpenAI** 11 steps · calls a model · Google Sheets, Slack](https://millionrounds.com/workflow/auto-post-blogs-to-linkedin-and-twitter-with-claude-and-open)
- [**Smart RAG agent: GPT-4o with Supabase and Postgres** 8 steps · calls a model · Supabase vectors](https://millionrounds.com/workflow/smart-rag-agent-gpt-4o-with-supabase-and-postgres)
- [**RAG chat assistant with Claude and Supabase** 6 steps · calls a model · Supabase vectors](https://millionrounds.com/workflow/rag-chat-assistant-with-claude-and-supabase)
- [**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)
