> For the complete documentation index, see [llms.txt](https://help.supporthunt.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.supporthunt.com/getting-started/building-a-chatbot.md).

# Building a Chatbot

### What type of chatbots I can build? 

There are two types of chatbot that you can build. They are; 

1. [Inbound Chatbot](#how-do-i-build-an-inbound-chatbot)
2. [Outbound Chatbot](broken://pages/bu3664jwucUoNIkJGoFP)

### What is Inbound chatbot? 

An inbound chatbot is a type of chatbot that is designed to interact with customers or users who initiates contact with business or organisation. These chatbots are usually placed on a company's website or social media platform and are programmed to respond to customer inquiries, provide product information, schedule appointments, or handle other customer service tasks. 

### How do I build an Inbound Chatbot?

You can follow the following steps to build an inbound chatbot; 

* Go to '**Bot Builder**' <br>
* Click on '**Build a Bot**' <br>
* Choose '**Build an Inbound Bot**' <br>
* Select the '**Channel**' from available options<br>
* Choose how you want to build your bot i.e. '**Use this Templates**' or '**From Scratch**' <br>
* Add '**Action Blocks**' in the conversational flow<br>
* Configure '**Action Blocks**' on the right panel<br>
* Click on '**Test this Bot**' to test the flow <br>
* Click on '**Deploy**' to deploy the bot

{% embed url="<https://www.youtube.com/watch?v=Sda10R5b0TY&embeds_referring_euri=https%3A%2F%2Fcdn.iframe.ly%2F&feature=emb_imp_woyt>" %}


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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://help.supporthunt.com/getting-started/building-a-chatbot.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.