> For the complete documentation index, see [llms.txt](https://land-hash.gitbook.io/hashland/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://land-hash.gitbook.io/hashland/white-paper/hashland-nft/synthetic-nft-expandability.md). # Synthetic NFT Expandability HashLand is highly expandable. NFT records the sources, transaction history, past owners of every game item. This could change the way we value certain assets. The value of assets now can be dependent on who owned the assets or what they had done to it. For example, one item can be more valuable than its equivalent if the former one was used by international e sports star, Faker. One of the core function of Blockchain is smart contract. For instance, third party developer can make their own game based of a Crypto Kitty game from 2017. This brought in new features such as battle, trading, and even virtual reality. HashLand also employs such high degrees of freedom. HashLand synthetic assets can integrate with any kinds of foundational assets and Intellectual Properties. --- # 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://land-hash.gitbook.io/hashland/white-paper/hashland-nft/synthetic-nft-expandability.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.