# Create your own Mascot / Character {% embed url="" %} *With StoryChain, you can create a unique mascot or character to represent your project and guide your community’s collaborative generations!*\ This adds a fun, consistent element to all the stories created—through the same beloved character. Here’s how to get started:\ 1️⃣ Head to the **Mascots / Characters** section and click **Create Mascot**.\ 2️⃣ Give your mascot a **name**, write a **description** of how you imagine them, and, if you like, add some **background information** to provide a common setting for the stories.\ 3️⃣ Then, click **Generate Mascot**, and we’ll get to work! 🖼️ After a short wait, you’ll receive a **mascot suggestion**, complete with multiple expressions. You can either **approve it** or click **Regenerate** to see more options. When reviewing suggestions, keep an eye out for:\ ✅ Clear, non-blurry images\ ✅ Consistency across the different expressions and poses\ ✅ Exactly **four** expressions—no more, no less! Once you find a set you love, click **Approve**.\ In this example, we’re curious to see more, so we’ll hit **Regenerate** and check out another option. We’re happy with the second set, so we’ll go ahead and approve it! 🎉 From here, StoryChain takes care of the rest. We’ll start preparing your mascot’s data and begin training your **unique AI model**.\ This process can take **up to 20 minutes**—feel free to check back later, or hang tight until it’s ready. Once training is complete, you’ll find your mascot listed under **Published Mascots**. You can now assign it to a **campaign** and start using it in your generations right away! --- # Agent Instructions: 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://docs.storychain.ai/storychain/community-engagement-system/how-to/create-your-own-mascot-character.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.