> For the complete documentation index, see [llms.txt](https://rgo.gitbook.io/rgo/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://rgo.gitbook.io/rgo/platform-modules/rgo-ai-suite.md). # RGO AI Suite RGO Studio provides creators with the tools needed to prepare visual content and promotional materials without relying on external resources. It simplifies branding, enhances visibility, and helps new assets gain attention more efficiently. RGO Studio includes: #### AI Image Generation Create posters, covers, and brand visuals directly from simple prompts. This helps issuers quickly produce consistent and presentable graphics for announcements and updates. #### AI Short-Form Video Generation Generate videos suitable for quick promotions, project news, or community engagement. These videos can be used both inside RGO and on external social platforms. #### In-Platform Short Video Posting Projects can publish short videos to gain likes, comments, tipped,follows, and shares. This provides early exposure and helps new assets reach the community faster. #### Instant Branding Support RGO enables issuers to prepare essential visual materials quickly and efficiently., reducing the cost and time required for branding during the early launch phase. --- # 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://rgo.gitbook.io/rgo/platform-modules/rgo-ai-suite.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.