> For the complete documentation index, see [llms.txt](https://bitdance-labs.gitbook.io/bitdance-labs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://bitdance-labs.gitbook.io/bitdance-labs/bitdance-labs/ai-powered.md). # Ai Powered BitDance positions itself as an “Application Factory,” dedicated to combining blockchain and AI — two of the most imaginative and transformative technologies of the future. We believe **blockchain redefines the structure of production, while AI redefines productivity**, and their convergence will become the core engine of next-generation application innovation. Under the "AI Powered" strategic theme, BitDance is building a forward-looking AI capability stack to develop an intelligent product ecosystem. With our proprietary **AI Schema** framework and the open **Intelligence Core** for internal and ecosystem-wide use, we are integrating AI deeply into product design, user experience, asset management, risk control, content generation, decision support, and beyond — creating truly intelligent blockchain-native applications. AI is not just a tool, but infrastructure for intelligent application building. BitDance is exploring AI-driven innovation across a wide range of domains, including but not limited to: * AI Copilot for Crypto * AI-based asset recognition and analytics * AI-powered recommendation and trading interfaces * Decentralized AI application scenarios (e.g., model attestation, asset generation, autonomous agents) Looking ahead, **AI Powered** will work in concert with “User First” and “Bitcoin Native” to deliver on-chain experiences that are user-friendly, trustworthy, and truly creative. --- # 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://bitdance-labs.gitbook.io/bitdance-labs/bitdance-labs/ai-powered.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.