# AI Assistant **Arbus AI Assistant** is an NLP chatbot trained on Arbus's dataset, designed to provide users with powerful insights and reports. One of its main functions is to help users identify early-stage projects and stay updated on recent developments and events. This makes it easier for users to make informed investment strategies and decisions. The Assistant also excels at discovering, curating, analyzing, categorizing content, and presenting data in a structured format. Users can quickly access Arbus Scores for projects, which helps them assess quality and perform fundamental analysis, making Arbus AI Assistant a valuable tool in the Web3 space. #### AI Assistant Features 1. **Fundamental Project Analysis**: Provides tools for conducting fundamental analysis of projects, allowing users to evaluate their potential and quality comprehensively. 2. **Stay Informed on Recent Developments**: Provides updates on the latest events and developments related to specific projects, ensuring users are always aware of key changes. 3. **Investment Strategy and Decision Support**: Offers insights that help users make informed investment decisions and develop effective strategies quickly and efficiently. 4. **Content Discovery and Curation**: Facilitates the discovery, curation, and analysis of relevant content, helping users find valuable information in a structured and categorized manner. 5. **Early-Stage Project Discovery**: Allows users to easily identify and track early-stage projects, keeping them ahead of market trends. {% embed url="" %} --- # Agent Instructions: 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: ``` GET https://docs.arbus.ai/ecosystem-overview/ai-assistant.md?ask= ``` The question should be specific, self-contained, and written in natural language. 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.