# Automate multilingual Slack communication (JA EN) with Gemini: n8n workflow

> Started by another system calling it. It calls services over plain HTTP rather than through connectors. It hands the judgement calls to Gemini.

Source: https://millionrounds.com/workflow/automate-multilingual-slack-communication-ja-en-with-gemini (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)

# Automate multilingual Slack communication (JA EN) with Gemini

Started by another system calling it. It calls services over plain HTTP rather than through connectors. It hands the judgement calls to Gemini. 24 steps, 2 branches: large, and worth reading before you trust it with anything live.

Large Calls a model: Gemini

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fautomate-multilingual-slack-communication-ja-en-with-gemini)

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

**2** Branches: places the flow splits

**0** Loops or waits

**0** Services by connector: it calls them over plain HTTP

## The flow

Starts it 5 Model 4 Logic 11 Service 4

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

- 1 **Webhook (Slack /trans)** Webhook *Starts it*
- 2 **Google Gemini Chat Model** Lm Chat Google Gemini *Model*
- 3 **Webhook (Slack @trans + reaction)** Webhook *Starts it*
- 4 **Ack (Respond to Slack)** Respond To Webhook *Starts it*
- 5 **Parse Slash Payload** Code *Logic*
- 6 **Basic LLM Chain (reaction)** Chain Llm *Model*
- 7 **Basic LLM Chain (@trans)** Chain Llm *Model*
- 8 **Basic LLM Chain (/trans)** Chain Llm *Model*
- 9 **Detect Slack Event Type** Code *Logic*
- 10 **Format Slack Message (reaction)** Code *Logic*
- 11 **Format Slack Message (@trans)** Code *Logic*
- 12 **Format Slack Message (/trans)** Code *Logic*
- 13 **Route by Event Type** Switch *Logic*
- 14 **Post to Slack (reaction reply)** Http Request *Service*
- 15 **Post to Slack (@trans reply)** Http Request *Service*
- 16 **Post to Slack (response_url)** Http Request *Service*
- 17 **Ack Mention Event** Respond To Webhook *Starts it*
- 18 **Parse Mention Event** Code *Logic*
- 19 **Ack Reaction Event** Respond To Webhook *Starts it*
- 20 **Parse Reaction Event** Code *Logic*
- 21 **Filter Reaction Type** Code *Logic*
- 22 **Fetch Original Message** Http Request *Service*
- 23 **Prep Reaction Translation Input** Code *Logic*
- 24 **Skip Reaction When No Message Found** If *Logic*

## How it's built

- **Starts on:** Another system calling it
- **Steps:** 24, with 2 branches
- **Size:** Large: read it before trusting it with anything live
- **Connects to:** Nothing by connector; it calls services over plain HTTP
- **Model:** Gemini

## Questions

What does it need to run?

An n8n account, and a key for Gemini. 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 Gemini. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Take your time. At 24 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 24 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%2Fautomate-multilingual-slack-communication-ja-en-with-gemini)
- **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.

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