> For the complete documentation index, see [llms.txt](https://kizunai.gitbook.io/kizuna-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://kizunai.gitbook.io/kizuna-docs/00.-abstract.md).

# 00. Abstract

## KIZUNA

### Your AI Community Manager

KIZUNA is an AI community manager designed for project communities on Telegram.

Projects already have the knowledge their communities need. It is often spread across websites, GitBooks, documentation, FAQs, and other trusted project resources. KIZUNA connects that knowledge to an AI agent and brings it directly into the community.

The core flow is simple:

PROJECT KNOWLEDGE → KIZUNA → TELEGRAM COMMUNITY

A project creates its KIZUNA agent, gives it the project's identity and context, connects its trusted knowledge sources, and deploys the agent into its Telegram community.

Community members can then ask questions directly inside Telegram and receive project-specific answers based on the connected knowledge.

KIZUNA is not designed to be a generic AI assistant. It is designed to understand a specific project and act as an intelligent community layer between the project's knowledge and its community.

#### The KIZUNA Model

**CREATE**\
Create a KIZUNA agent and give it the project's identity.

**CONNECT**\
Connect the project's website, GitBook, documentation, FAQs, and trusted resources.

**DEPLOY**\
Bring the KIZUNA agent directly into the project's Telegram community.

**ANSWER**\
Let community members ask questions and receive answers based on the project's connected knowledge.

KIZUNA turns static project information into an active community-support layer, helping make important information easier to access while reducing repetitive questions for project teams.


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# 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, and the optional `goal` query parameter:

```
GET https://kizunai.gitbook.io/kizuna-docs/00.-abstract.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.