# Introduction to Mentis AI Welcome to Mentis AI, where state-of-the-art AI technology meets accessibility. Mentis AI is an innovative platform that combines Artificial Intelligence (AI) with blockchain technology, focusing on AI Security and Decentralized Science (DeSci). The project aims to democratize AI by making it accessible and understandable even to those without a technical background. Here are key aspects of Mentis AI: * **Accessibility and Community:** Mentis AI promotes a community-driven approach where users can engage in prompt mining, help validate AI models, and contribute to scientific research, particularly in areas like protein folding for drug discovery. Participants can earn $MENTAI tokens for their contributions, fostering a collaborative environment for innovation and scientific advancement. * **AI and Blockchain Integration:** The platform leverages blockchain to ensure the security of AI processes and to maintain decentralized control over data and research. This integration aims to provide transparency, security, and inclusivity in AI development and application. * **Mentis AI Token ($MENTAI):** The $MENTAI token serves as the utility token within the Mentis AI ecosystem. It's used for incentivizing participation in various tasks like prompt mining, where users are rewarded for supplying data or tasks to AI models. * **Research and Development:** Mentis AI is actively involved in pushing the boundaries of AI in scientific research, particularly through its DeSci Lab, which has shown substantial activity in tasks completed and tokens earned by miners. Overall, Mentis AI stands at the intersection of AI and blockchain, aiming to make AI technology more inclusive, secure, and beneficial for scientific research and broader community participation. Its focus on DeSci and AI security positions it as a noteworthy project in the rapidly evolving tech landscape. --- # 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.mentisai.space/introduction-to-mentis-ai.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.