> 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/03.-the-kizuna-solution.md).

# 03. The KIZUNA Solution

## The KIZUNA Solution

### From Knowledge to Community

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

It connects a project's existing knowledge with an AI agent and brings that knowledge directly into the community.

The core model is:

**PROJECT KNOWLEDGE → KIZUNA → TELEGRAM COMMUNITY**

Instead of asking community members to search through different resources, KIZUNA allows them to ask questions directly where the community already communicates.

### A Project-Specific AI

KIZUNA is not positioned as a generic AI assistant.

Each KIZUNA agent is designed around a specific project.

The project provides its identity, context, and trusted knowledge sources. KIZUNA uses that foundation to provide answers relevant to the project and its community.

This creates a clear distinction:

**GENERIC AI**

General knowledge and broad conversations.

**KIZUNA**

Project identity + project knowledge + community interaction.

### One Layer Between Knowledge and Community

KIZUNA acts as an intelligent community layer.

The project maintains its official information.

KIZUNA connects that information to the community.

Community members interact with the information through conversation.

This creates a simpler experience:

**PROJECT**

Provides the knowledge.

↓

**KIZUNA**

Understands the project context.

↓

**COMMUNITY**

Asks questions directly in Telegram.

### Core Capabilities

#### Project Knowledge

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

#### Instant Answers

Provide fast, context-aware responses based on the project's official knowledge.

#### Telegram Native

KIZUNA operates directly where the community already communicates.

#### Simple Deployment

Create the agent, connect project knowledge, and bring KIZUNA to Telegram.

### Built Around Simplicity

The KIZUNA experience is intentionally straightforward.

A project does not need to build a separate community knowledge system from scratch.

The intended journey is:

**CREATE → CONNECT → DEPLOY → ANSWER**

Create the agent.

Connect the knowledge.

Deploy it to Telegram.

Let the community interact with it.

### The Result

KIZUNA turns static project information into an active community-support layer.

The project keeps control of its knowledge.

The community gets a direct way to access that knowledge.

And KIZUNA connects the two.

**YOUR PROJECT.**\
**YOUR KNOWLEDGE.**\
**YOUR KIZUNA.**


---

# 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/03.-the-kizuna-solution.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.
