> For the complete documentation index, see [llms.txt](https://docs.aisuru.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.aisuru.com/en/readme/what-is-aisuru.md). # What is AIsuru AIsuru is a cutting-edge platform that lets you **create and manage customized conversational AI**. It goes far beyond the capabilities of a simple chatbot, offering a complete ecosystem for creating "digital twins" of knowledge, called Agents. With AIsuru, you can: * Create intelligent virtual assistants capable of interacting naturally and in depth with users, customers, or employees * Digitize your personal or business expertise * Build 24/7 customer support * Develop specialized consultants for your industry * Implement interactive and personalized training systems * Integrate AI into web environments, physical devices, and even virtual reality. The power of AIsuru lies in its flexibility and strength: * You can **train your Agents in a variety of ways** * The AI can give **different responses depending on the user it's interacting with** * **It can integrate with external apps and services** (i.e your calendar). --- # 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://docs.aisuru.com/en/readme/what-is-aisuru.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.