# Eastworld AI

## Eastworld AI

- [Eastworld](https://docs.eastworld.ai/eastworld.md): We build worlds for AI, with AI
- [Whitepaper](https://docs.eastworld.ai/whitepaper.md): Eastworld AI: Open World to the Future Embodied AI
- [Background & Vision](https://docs.eastworld.ai/whitepaper/background-and-vision.md)
- [System Overview](https://docs.eastworld.ai/whitepaper/system-overview.md)
- [AI × World: The Decentralized Training Network (Bittensor Subnet)](https://docs.eastworld.ai/whitepaper/decentralized-training-network.md)
- [AI × Humans: An AI-Driven Immersive Game](https://docs.eastworld.ai/whitepaper/ai-driven-game.md)
- [Ecosystem Sustainability & Value Capture](https://docs.eastworld.ai/whitepaper/ecosystem.md)
- [Conclusion](https://docs.eastworld.ai/whitepaper/conclusion.md)
- [Eastworld Universe](https://docs.eastworld.ai/eastworld-universe.md)
- [UNIVERSE Vespera](https://docs.eastworld.ai/eastworld-universe/universe-vespera.md)
- [API reference](https://docs.eastworld.ai/eastworld-universe/api-reference.md)
- [Eastworld Protocol](https://docs.eastworld.ai/eastworld-universe/api-reference/eastworld-protocol.md)
- [Step](https://docs.eastworld.ai/eastworld-universe/api-reference/eastworld-protocol/step.md)
- [Bittensor Subnet](https://docs.eastworld.ai/bittensor-subnet.md)


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# Agent Instructions
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## Querying This Documentation
If you need additional information, you can query the documentation dynamically by asking a question.
Perform an HTTP GET request on a page URL with the `ask` query parameter:
```
GET https://docs.eastworld.ai/eastworld.md?ask=<question>
```
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.
