> For the complete documentation index, see [llms.txt](https://docs.ypredict.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.ypredict.ai/ypredict-token/tokenomics/design-and-technology.md). # Design & Technology yPredict Tokens needed a blockchain technology solution that supports the growth and use case of its tokens. Among several options for blockchain technology, our developers decided to develop & deploy our tokens on the Polygon chain. It offers several benefits such as ETH compatibility, scalability, security, and developer experience. Other chains in the industry do offer some or all of these features but it's the community that we found very inclusive and attractive value proposition for developers, in our use case specifically. We designed YPRED tokens with a limited supply of 100m to ensure a reasonable value for each token as our holder's community matures over time. --- # 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://docs.ypredict.ai/ypredict-token/tokenomics/design-and-technology.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.