> For the complete documentation index, see [llms.txt](https://alaya-ai.gitbook.io/alaya-ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://alaya-ai.gitbook.io/alaya-ai/user-manual/task-categories.md). # Task Categories Data tasks on Alaya AI are separated into general tasks and specialised tasks based on content specification and user expertise. Both types of tasks are further separated into standard format and advanced format based on workload and complexity. Standard format tasks require minimal workload and are generally presented in simple formats such as multiple-choice questions. All users can access standard format tasks by default. Advanced format tasks require complex, multi-step solutions and may include open-ended questions involving large amounts of information and high workload. Both general and specialised tasks may be given in advanced formats, which may require users to possess high-level NFTs and/or a certain amount of staked $AGT to access. Advanced format tasks offer better rewards, which include exclusive user achievements, milestones and unique NFTs. * **General Tasks** General tasks can be completed via human judgement alone, e.g., object recognition or semantic segmentation. General tasks are available immediately for all users upon registration and can be completed as long as users have sufficient remaining energy points. * **Specialised Tasks** Specialised tasks require expert knowledge and may refer to unique scientific, technical, cultural or community backgrounds such as medical imaging, programming or nonstandard dialects, etc. Users must first acquire Medallion NFTs in each area of expertise before they can access the corresponding specialised tasks. Medallion NFTs are wallet-bound NFTs rewarded to users as personal achievements based on performance. They are crucial for Alaya’s optimisation algorithms and are a private, non-intrusive tagging mechanism for Alaya AI to identify and verify user expertise without requiring KYC or other formal qualifications. --- # 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://alaya-ai.gitbook.io/alaya-ai/user-manual/task-categories.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.