> For the complete documentation index, see [llms.txt](https://docs.ave.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.ave.ai/business-development/recruitment-for-ave.ai-business-agents.md). # Recruitment for Ave.ai Business Agents We are seeking experienced and well-connected advertising agents to help promote our business service. If you're passionate about the cryptocurrency industry and have a strong network, we invite you to join us! As an agent, you'll receive generous rewards, and there are great opportunities for advancement based on your performance. Here we provide these services for projects, like meme coin project etc. **Services:** * Token listing * Trending Boost * Banner Ads * Activities, like trading event, give-away etc **Appllication Requirements:** * **Recommend at least 4 Token Listings**: Earn **20U** for each successful Token Listing recommendation. * **Monthly Minimum of 10 Token Listings**: Agents are expected to refer at least 10 Token Listings each month to maintain active status. **Agent Benefits:** * **More Referrals, More Rewards**: The more listings you recommend, the higher your agent level, and your rewards will increase accordingly. * **Tiered Advancement**: As your referrals grow, you’ll progress to higher agent levels with increased earnings potential. We offer competitive rewards and clear advancement paths, providing you with a great opportunity to grow in the crypto space. We look forward to having you on board! For any inquiries or more information, feel free to contact us. \ \ TG: \ Email: --- # 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.ave.ai/business-development/recruitment-for-ave.ai-business-agents.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.