> For the complete documentation index, see [llms.txt](https://docs.flock.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.flock.io/flock-tokenomics/network-participation/fl-alliance/task-creator.md). # Task Creator ## Definition FL task creator will be responsible to create a FL task. The creator will specify the basic information of a FL task, such as the number of minimum participants, the expected number of rounds, and the initial reward amount in the pool, etc. ## Requirements Similar to the AI Arena task creator, a FL task creator needs to satisfy the following requirements: * stake a sufficient amount of FLOCK * had successfully created, trained or validated an AI Arena task before * is whitelisted ## Expected Returns Thanks to the FL training, in which the participants will provide their local data to perform the training, the FL task creator will receive a further fine-tuned model compared to their AI Arena trained version. \*This feature is not released yet. --- # 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.flock.io/flock-tokenomics/network-participation/fl-alliance/task-creator.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.