> For the complete documentation index, see [llms.txt](https://oceanea.gitbook.io/oceanea-litepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://oceanea.gitbook.io/oceanea-litepaper/ecosystem-architecture/core-scenarios.md). # Core Scenarios Oceanea is built around four interconnected scenarios that together form a complete ocean experience network spanning digital interaction, physical exploration, immersive entertainment, and real-world participation. Rather than operating as isolated products, these scenarios share a unified identity layer, contribution system, and asset infrastructure through Ocean Passport. The ecosystem is designed so that: * Game progression can connect to real-world experiences * Hardware usage can generate digital achievements * VR exploration can synchronize with user identity * Real-world participation can accumulate ecosystem reputation and rewards Each scenario solves a different stage of user participation: * X-DIVER lowers the onboarding barrier * X-ARTURA expands real-world exploration capability * VR experience centers increase accessibility and user frequency * Underwater entertainment destinations create long-term immersive ecosystem value Together, they form a closed-loop infrastructure connecting users, services, data, contribution, and entertainment into one persistent network. --- # 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://oceanea.gitbook.io/oceanea-litepaper/ecosystem-architecture/core-scenarios.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.