> 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/01.-introduction.md). # 01. Introduction ## Introduction ### Knowledge Should Be Accessible Every project has information that its community needs. Project details, documentation, frequently asked questions, product information, and important resources are often available across different places. The information exists, but accessing the right information at the right moment can still be difficult. KIZUNA is built around a simple idea: **project knowledge should be available where the community already communicates.** KIZUNA turns a project's existing knowledge into an AI community manager designed specifically for that project. Instead of acting as a general-purpose AI assistant, KIZUNA is connected to the project's own identity, context, and trusted knowledge sources. ### From Knowledge to Community The KIZUNA model connects three layers: **PROJECT KNOWLEDGE** The information a project already maintains across its website, GitBook, documentation, FAQs, and trusted resources. ↓ **KIZUNA** An AI community manager that uses the connected project knowledge to understand and respond to community questions. ↓ **TELEGRAM COMMUNITY** The environment where community members can interact with KIZUNA directly. This creates a simple flow: **PROJECT KNOWLEDGE → KIZUNA → TELEGRAM COMMUNITY** ### Why KIZUNA Project teams spend time answering questions that have often already been documented somewhere. Community members, meanwhile, may need to search through multiple resources to find the information they are looking for. KIZUNA is designed to connect these two sides. It brings project knowledge into the community itself, allowing members to ask questions directly in Telegram and receive project-specific answers based on the knowledge provided by the project. The goal is simple: **Turn your project's knowledge into an AI community manager.** ### The KIZUNA Vision KIZUNA is designed to become an intelligent layer between projects and their communities. The project provides the knowledge. KIZUNA understands the context. The community asks the questions. KIZUNA brings the information back into the conversation. **Knowledge becomes alive.** --- # 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/01.-introduction.md?ask=&goal= ``` `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.