> For the complete documentation index, see [llms.txt](https://yeahaw.gitbook.io/yeahaw-ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://yeahaw.gitbook.io/yeahaw-ai/products/ai-task-scheduler.md). # AI Task Scheduler To enhance task execution efficiency and optimize resource utilization, Yeahaw AI has implemented an advanced artificial intelligence task scheduler. This innovative tool automatically allocates tasks to the most appropriate computing power suppliers, considering factors such as task priority, specific resource requirements, and the availability of suppliers. By intelligently organizing the sequence and strategy for task execution, the scheduler ensures that resources are used most effectively, improving overall system performance and user satisfaction. --- # 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://yeahaw.gitbook.io/yeahaw-ai/products/ai-task-scheduler.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.