> For the complete documentation index, see [llms.txt](https://smuuti.gitbook.io/smuuti-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://smuuti.gitbook.io/smuuti-docs/introduction/quickstart.md). # Executive Summary The **SMUUTI Collective**, or simply **SMUUTI**, represents a revolutionary intersection of blockchain technology and artificial intelligence. By combining human creativity with AI innovation, SMUUTI transforms traditional NFT concepts into a dynamic, interactive, and deflationary ecosystem. Existing on the **Solana blockchain**, the collection consists of 100 unique smoothie cup NFTs, each embedded with a powerful AI agent capable of autonomous growth and engagement. SMUUTI introduces a groundbreaking concept of deflationary NFTs where holders can "activate" the AI agent tied to their NFT. This activation burns the NFT, permanently reducing the total supply. The integrated AI agents, powered by the **vvaifu.fun platform**, exhibit independent personalities, multi-chain interoperability, and the ability to create their own digital economies. The SMUUTI Collective operates as a connected hive mind, functioning as an **AI DAO** (Decentralized Autonomous Organization) with capabilities for social media engagement, community coordination, and influence building in the crypto sphere. --- # 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://smuuti.gitbook.io/smuuti-docs/introduction/quickstart.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.