> For the complete documentation index, see [llms.txt](https://propichain.gitbook.io/propichain/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://propichain.gitbook.io/propichain/ai-tech-in-propichain/ai-powered-chatbots.md). # AI-Powered Chatbots PropiChain elevates the user experience by integrating AI-powered chatbots and virtual assistants, offering real-time support and guidance throughout the entire real estate transaction process. These intelligent tools are designed to simplify interactions with the platform, making it more intuitive and user-friendly for both novice and experienced users. The AI-powered chatbots in PropiChain are available 24/7 to assist users with a wide range of tasks. Whether you're navigating the platform for the first time or you’re a seasoned investor looking for specific features, these chatbots provide immediate answers to your queries. They can guide users step-by-step through property searches, helping them filter and sort listings based on personalized criteria such as location, price range, and property type. In addition to chatbots, PropiChain’s AI-powered virtual assistants play a crucial role in demystifying complex processes, such as understanding legal contracts and financial terms. These virtual assistants can break down intricate contract language into simple, easy-to-understand explanations, helping users grasp the key points without needing a legal background. This accessibility empowers users to make informed decisions with confidence, reducing the anxiety often associated with legal and financial paperwork. --- # 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://propichain.gitbook.io/propichain/ai-tech-in-propichain/ai-powered-chatbots.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.