# Telegram

Adding the Telegram bot to your channel only takes a couple of steps.

1. Log into [www.togethercrew.com](http://www.togethercrew.com) using your preferred account. Right now this will have to be Discord, but we'll have Telegram and other methods available soon.
2. If this is your first time, select **+create** at the bottom, add your community name in the text field and **create** your community. If you have logged in in the past, go ahead and select your community. 
3. Go to **Community Settings** and in the top panel select Telegram.
4. You'll see all the instructions to add our bot to your channel.
   1. Switch over to Telegram
   2. Go to your community
   3. Select **add members**
   4. Search for **TogetherCrew** **bot**, make sure you select the right one (check that it has our logo)
   5. Make the bot an admin in your community. 
   6. Go back to **Community Settings** in [www.app.togethercrew.com](http://www.app.togethercrew.com) and copy the verification code.
   7. **Paste** the verification code into your chat. 
5. The bot has been set up properly. Hivemind will start learning from your chat history. After 24 hours your dashboard will have data.

{% hint style="info" %}
The bot will only have data from the day it has been added. It does not have access to your chat history.
{% endhint %}

{% hint style="info" %}
The **AI Assistant** will need some time to learn about your community. It's eager to help, but within the first days, answers can be a bit general. It's like a little kid: Always ready to talk. But compared to humans, it learns super fast. 
{% endhint %}


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://togethercrew.gitbook.io/onboarding/fundamentals/adding-platforms/telegram.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.