# Handle Tol Product Lab sales chats with Telegram and Gemini: n8n workflow

> Started by an incoming Telegram message, and works across Google Calendar, Google Sheets, Supabase vectors and Telegram.

Source: https://millionrounds.com/workflow/handle-tol-product-lab-sales-chats-with-telegram-and-gemini (Millionrounds; every figure on the page links to its filing or article)

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

# Handle Tol Product Lab sales chats with Telegram and Gemini

Started by an incoming Telegram message, and works across Google Calendar, Google Sheets, Supabase vectors and Telegram. It puts Gemini behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 13 steps: a working afternoon to understand properly.

Medium Calls a model: Gemini Retrieval

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fhandle-tol-product-lab-sales-chats-with-telegram-and-gemini)

**13 steps** Medium: a working afternoon

**0** Branches: places the flow splits

**0** Loops or waits

**4** Services it connects to

## The flow

Starts it 1 Model 5 Logic 1 Service 6

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

- 1 **ai_languageModel** Lm Chat Google Gemini *Model*
- 2 **ai_memory** Memory Buffer Window *Model*
- 3 **embeddings_model** Embeddings Google Gemini *Model*
- 4 **audit_pagespeed** Http Request Tool *Service*
- 5 **log_conversation** Google Sheets Tool *Service*
- 6 **proposer_creneau** Google Calendar Tool *Service*
- 7 **verifier_disponibilite** Google Calendar Tool *Service*
- 8 **notifier_eyitola** Telegram Tool *Service*
- 9 **chat** Telegram trigger *Starts it*
- 10 **AI Agent** Agent *Model*
- 11 **knowledge_base** Vector Store Supabase *Model*
- 12 **telegram_normalizer** Set *Logic*
- 13 **respond** Telegram *Service*

## How it's built

- **Starts on:** An incoming Telegram message
- **Steps:** 13
- **Size:** Medium: a working afternoon
- **Connects to:** Google Calendar, Google Sheets, Supabase vectors, Telegram
- **Model:** Gemini
- **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 Calendar, Google Sheets, Supabase vectors and Telegram accounts, and a key for Gemini. You connect your own accounts after importing it; none are included.

What starts it?

It starts on an incoming Telegram message.

Does it use AI?

Yes. It calls Gemini. 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. 13 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 13 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%2Fhandle-tol-product-lab-sales-chats-with-telegram-and-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.

## Connects to

Each opens the other workflows that use it.

[Google Calendar](https://millionrounds.com/workflows?service=Google+Calendar#library)[Google Sheets](https://millionrounds.com/workflows?service=Google+Sheets#library)[Supabase vectors](https://millionrounds.com/workflows?service=Supabase+vectors#library)[Telegram](https://millionrounds.com/workflows?service=Telegram#library)

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

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