> For the complete documentation index, see [llms.txt](https://judge-ai.gitbook.io/judge-ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://judge-ai.gitbook.io/judge-ai/marketing/affiliate-program.md). # Affiliate Program Judge AI actively engages its community through a word-of-mouth affiliate program in which $JUDGE holders are recognized and rewarded for promoting our solution. This approach creates a mutually beneficial relationship by allowing holders to earn passive income from transactions initiated by their affiliates, fostering a win-win dynamic and increasing community engagement. The continuous revenue-sharing model ensures that referrers earn a percentage of tooling fees generated by their introduced users for the duration of their use of our solution. **Growth and Stability** Our affiliate program is designed to promote growth and holder stability: * Tier 2 token holders receive 5% in rewards. * Tier 3 members receive a larger 10% share. **NOTE:**\ Referrers must keep their token count above the tier level minimum throughout the random snapshot variable to maintain fairness and relationship integrity. To learn more, see our [Holder Tiers](/judge-ai/users-investors/holder-tiers.md) section. --- # 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://judge-ai.gitbook.io/judge-ai/marketing/affiliate-program.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.