> For the complete documentation index, see [llms.txt](https://alaya-ai.gitbook.io/alaya-ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://alaya-ai.gitbook.io/alaya-ai/user-manual/nft-system.md). # NFT System Alaya AI utilises a dual-NFT design consisting of Alaya NFTs and Medallion NFTs. The dual-NFT design is implemented to distinguish gamified user incentives and personal achievements from system labelling and optimisation features. **Alaya NFTs:** Alaya NFTs are distributed to users for free upon registration, Alaya NFTs are required for users to complete training tasks, obtain task rewards, and participate in community events. They can be understood as the “player character” of Alaya’s gamified UI and can be freely traded. **Medallion NFTs:** Medallion NFTs are non-tradeable NFTs that enable system labelling, user ranking, and targeted task distribution. Medallion NFTs can only be obtained through personal achievements and are wallet-bound. They are essential for Alaya’s optimisation algorithm to distribute tasks and aggregate/pre-process datasets accurately and efficiently. Both Alaya NFTs and Medallion NFTs can be upgraded by consuming in-game experience points and $AGT at set intervals. Users receive bonus attribute points per NFT upgrade to further enhance rewards and unlock advanced/specialised tasks. --- # 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://alaya-ai.gitbook.io/alaya-ai/user-manual/nft-system.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.