> For the complete documentation index, see [llms.txt](https://docs.eesee.io/documentation/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.eesee.io/documentation/for-buyers/winner-selection-model.md). # Winner Selection Model Once all tickets are sold, a transparent and randomized system selects the winning ticket holder, who then receives the Digital Asset. Gelato VRF will be used to ensure a fair selection of the winner. 🔎 [Please view our main raffle contract! ](https://gitlab.com/eesee.io/network/contracts/-/blob/main/contracts/marketplace/Eesee.sol?ref_type=heads) **Note to Users and Readers**: It's important to delve deeper into the process. If all tickets are sold, the drawing will take place within a 24-hour window. However, if not all tickets are sold by the auction's end date, the winner will not receive the Digital Asset. Instead, all collected amount from sold tickets will be raffled off among all lot participants (with 1 winner). --- # 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.eesee.io/documentation/for-buyers/winner-selection-model.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.