# Automating WhatsApp replies with Go High Level and Redis: n8n workflow

> Started by another system calling it, and works across Google Drive and Redis. It puts Claude behind a retrieval step, so answers are drawn from documents...

Source: https://millionrounds.com/workflow/automating-whatsapp-replies-with-go-high-level-and-redis (Millionrounds; every figure on the page links to its filing or article)

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

# Automating WhatsApp replies with Go High Level and Redis

Started by another system calling it, and works across Google Drive and Redis. It puts Claude behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 25 steps, 2 branches, 1 loop or waits: large, and worth reading before you trust it with anything live.

Large Calls a model: Claude Retrieval

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fautomating-whatsapp-replies-with-go-high-level-and-redis)

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

**2** Branches: places the flow splits

**1** Loop or waits

**2** Services it connects to

## The flow

Starts it 2 Model 4 Logic 9 Service 10

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

- 1 **Webhook** Webhook *Starts it*
- 2 **Anthropic Chat Model** Lm Chat Anthropic *Model*
- 3 **Simple Memory** Memory Buffer Window *Model*
- 4 **When Executed by Another Workflow** Execute Workflow trigger *Starts it*
- 5 **Call n8n Workflow Tool** Tool Workflow *Model*
- 6 **Switch1** Switch *Logic*
- 7 **AI Agent** Agent *Model*
- 8 **Download file** Google Drive *Service*
- 9 **Sanitize and Format Message Body** Code *Logic*
- 10 **Get GHL Custom fields** Http Request *Service*
- 11 **Sanitize and Format Message Output** Code *Logic*
- 12 **Extract Tests** Extract From File *Service*
- 13 **Extract Sites** Extract From File *Service*
- 14 **Save message** Redis *Service*
- 15 **Update Contact No audio** Http Request *Service*
- 16 **GHL Custom fields** Http Request *Service*
- 17 **Merge** Merge *Logic*
- 18 **Wait** Wait *Logic*
- 19 **Update Contact** Http Request *Service*
- 20 **Success** Set *Logic*
- 21 **Get messages** Redis *Service*
- 22 **If** If *Logic*
- 23 **messages** Set *Logic*
- 24 **No Operation, do nothing** No Op *Logic*
- 25 **Delete messages** Redis *Service*

## How it's built

- **Starts on:** Another system calling it
- **Steps:** 25, with 2 branches, 1 loop or waits
- **Size:** Large: read it before trusting it with anything live
- **Connects to:** Google Drive, Redis
- **Model:** Claude
- **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 Google Drive and Redis accounts, and a key for Claude. 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 Claude. 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%2Fautomating-whatsapp-replies-with-go-high-level-and-redis)
- **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.

[Google Drive](https://millionrounds.com/workflows?service=Google+Drive#library)[Redis](https://millionrounds.com/workflows?service=Redis#library)

## Workflows like it

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

- [**AI inbox assistant with OpenAI and Gmail** 25 steps · calls a model · Gmail, Google Drive](https://millionrounds.com/workflow/ai-inbox-assistant-with-openai-and-gmail)
- [**Build a self-updating RAG system with OpenAI and Qdrant** 25 steps · calls a model · Google Drive, Qdrant](https://millionrounds.com/workflow/build-a-self-updating-rag-system-with-openai-and-qdrant)
- [**Turn your portfolio into an AI assistant with OpenAI** 25 steps · calls a model · Gmail, Google Drive](https://millionrounds.com/workflow/turn-your-portfolio-into-an-ai-assistant-with-openai)
- [**Build a RAG system with Qdrant and Gemini** 24 steps · calls a model · Google Drive, Qdrant](https://millionrounds.com/workflow/build-a-rag-system-with-qdrant-and-gemini)
- [**Build and update RAG system with Google Drive and Qdrant** 24 steps · calls a model · Google Drive, Qdrant](https://millionrounds.com/workflow/build-and-update-rag-system-with-google-drive-and-qdrant)
- [**Generate LinkedIn carousel images from text with Mistral** 26 steps · calls a model · Google Drive, S3](https://millionrounds.com/workflow/generate-linkedin-carousel-images-from-text-with-mistral)