> For the complete documentation index, see [llms.txt](https://docs.eastworld.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.eastworld.ai/whitepaper/system-overview.md).
# System Overview
The Eastworld AI blueprint consists of three tightly coupled components. Together they form a sustainable, evolving intelligence ecosystem.
### World Layer (AI Training Platform)
**Positioning:** Anchors the interaction paradigm between AI and the physical world.\
**Implementation:** A decentralized embodied-intelligence training subnet built on Bittensor. An open virtual environment and standardized evaluation task suites, combined with on-chain incentives, enable large-scale participation by a global developer community and sustained accumulation of high-quality data. This layer establishes the foundation for our long-term technical roadmap.
### Application Layer (AI-Driven Game)
**Positioning:** Explores the symbiotic relationship between AI and humans.\
**Implementation:** A hybrid online game that blends tower defense, idle simulation and AI interaction. It serves both as a front-line arena for Human–AI interaction with real players and as our commercialization engine and high-value data source. Compelling gameplay drives large-scale, authentic user interaction, which in turn provides essential input to the AI training.
### Technology Foundation (Simulation and AI Engine)
**Positioning:** Provides the unified technical core that powers the platform and game.\
**Implementation:** Our in-house simulation engine, evaluation framework, and AI stack are shared across the World and Application layers to maximize reuse, accelerate R\&D, and improve data efficiency. This dual flywheel of technology development and application delivery forms Eastworld AI's distinctive competitive advantage.
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