> For the complete documentation index, see [llms.txt](https://docs.storychain.ai/storychain/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.storychain.ai/storychain/welcome/features/competitions-and-community-engagement.md).

# Competitions and Community Engagement

StoryChain understands the vital role of community in fostering creativity and innovation. Through organized competitions and robust community engagement, StoryChain aims to cultivate an environment where creativity flourishes, and participants are duly rewarded for their contributions.

**Thematic Competitions:** Regular competitions with specific themes challenge users to unleash their imagination and creativity. These competitions offer rewards that incentivize participation and excellence, encouraging users to push the boundaries of storytelling.

**Engagement and Growth:** Beyond the competitive aspect, StoryChain competitions serve as a platform for engagement and growth within the community. Participants have the opportunity to interact with like-minded individuals, provide feedback, and collectively evolve as storytellers.

**Rewards:** Rewards from these competitions are backed by StoryChain tokenomics, ensuring a sustainable incentive structure that lasts for years and supports the platform's long-term growth.

**Unique Models:** StoryChain is committed to innovation, continually developing unique AI image models tailored for specific competitions. These models, exclusive to designated competitions, offer participants access to distinctive image styles that will never be reused, providing added value and uniqueness to their creations.


---

# 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.storychain.ai/storychain/welcome/features/competitions-and-community-engagement.md?ask=<question>&goal=<endgoal>
```

`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.