> For the complete documentation index, see [llms.txt](https://sogni.gitbook.io/sogni-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://sogni.gitbook.io/sogni-docs/our-superapps/sogni-gen.md). # Sogni-gen Sogni-gen is a cross-agent creative runtime that lets AI agents generate images, videos, edits, photobooth portraits, and multi-step media workflows through Sogni. ### Who it is for Agent builders, developers, automation engineers, Claude Desktop/Code users, OpenClaw users, and teams building bots with creative capabilities. ### How it works Sogni-gen works as an MCP server, OpenClaw plugin, skill source, and standalone Node.js CLI. It provides tools for image generation, video generation, image editing, photobooth, refinement, and more. ### Sample Workflows Ask an agent to generate podcast covers, edit an image, make a video, create photobooth portraits, check balance, refine outputs, or chain generated clips together. ### Workflows Coming soon --- # 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: ``` GET https://sogni.gitbook.io/sogni-docs/our-superapps/sogni-gen.md?ask= ``` The question should be specific, self-contained, and written in natural language. 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.