> For the complete documentation index, see [llms.txt](https://paper.chainopera.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://paper.chainopera.ai/overview/ecosystem/co-owners.md). # Co-owners In addition to AI end users, the ChainOpera ecosystem includes two types of co-owners who act as partners in building the network: * **AI Agent Creators** – Individuals or teams who use the Agent Platform to design and deploy new AI agents. * **AI Agent Participants** – Community members who acquire agent access units to participate in and support the lifecycle of an AI agent. This model enables shared involvement in agent growth and usage, without requiring direct technical development. These two roles, together with other ecosystem modules, form the foundation of ChainOpera’s collaborative framework, as illustrated in the figure below. --- # 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://paper.chainopera.ai/overview/ecosystem/co-owners.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.