# ChainOpera AI - White Paper ## ChainOpera AI White Paper - [ChainOpera AI: The Collaborative Intelligence of AI Agent Network](https://paper.chainopera.ai/readme.md) - [One Liner](https://paper.chainopera.ai/overview/one-liner.md) - [What's ChainOpera AI?](https://paper.chainopera.ai/overview/what.md) - [Why ChainOpera AI?](https://paper.chainopera.ai/overview/why-chainopera-ai.md) - [Ecosystem](https://paper.chainopera.ai/overview/ecosystem.md) - [Co-creators](https://paper.chainopera.ai/overview/ecosystem/co-creators.md) - [Co-owners](https://paper.chainopera.ai/overview/ecosystem/co-owners.md) - [Platform and Framework Partners](https://paper.chainopera.ai/overview/ecosystem/platform-and-framework-partners.md) - [AI Hardware: DeAI Phones, Wearable Devices, and Robots](https://paper.chainopera.ai/overview/ecosystem/ai-hardware-deai-phones-wearable-devices-and-robots.md) - [TensorOpera GenAI Platform](https://paper.chainopera.ai/overview/ecosystem/tensoropera-genai-platform.md) - [TensorOpera FedML Platform](https://paper.chainopera.ai/overview/ecosystem/tensoropera-fedml-platform.md) - [Super AI Agent App - AI Terminal](https://paper.chainopera.ai/full-stack-ai-agent-platform/interactive-blocks.md) - [AI Agent Social Network](https://paper.chainopera.ai/full-stack-ai-agent-platform/society.md) - [AI Agent Developer Platform](https://paper.chainopera.ai/full-stack-ai-agent-platform/aios.md) - [AI Model and GPU Platform](https://paper.chainopera.ai/full-stack-ai-agent-platform/aiplatform.md) - [Overview and Token Utility](https://paper.chainopera.ai/tokenomics-and-protocol-design/overview-and-token-utility.md) - [Token Utility Across Multiple Roles in Full-Stack AI](https://paper.chainopera.ai/tokenomics-and-protocol-design/token-utility-across-multiple-roles-in-full-stack-ai.md) - [COAI Tokenomics](https://paper.chainopera.ai/tokenomics-and-protocol-design/coai-tokenomics.md) - [Circulation and Unlock Schedule](https://paper.chainopera.ai/tokenomics-and-protocol-design/circulation-and-unlock-schedule.md) - [Proof-of-Intelligence–Based Protocol Design & Evolution to an L1 AI Chain](https://paper.chainopera.ai/tokenomics-and-protocol-design/proof-of-intelligence-based-protocol-design-and-evolution-to-an-l1-ai-chain.md) - [Looking Ahead: Evolution to an L1 AI Chain](https://paper.chainopera.ai/tokenomics-and-protocol-design/looking-ahead-evolution-to-an-l1-ai-chain.md) - [Overview (old)](https://paper.chainopera.ai/tokenomics-and-protocol-design/overview-old.md) - [Token Utility Across Multiple Roles in Full-Stack AI (old)](https://paper.chainopera.ai/tokenomics-and-protocol-design/token-utility-across-multiple-roles-in-full-stack-ai-old.md) - [Co-Creation and The Contribution Model (old)](https://paper.chainopera.ai/tokenomics-and-protocol-design/co-creation-and-the-contribution-model-old.md) - [Co-ownership of AI (old)](https://paper.chainopera.ai/tokenomics-and-protocol-design/co-ownership-of-ai-old.md) - [Burn and Mint Equilibrium Model (old)](https://paper.chainopera.ai/tokenomics-and-protocol-design/burn-and-mint-equilibrium-model-old.md) - [Governance (old)](https://paper.chainopera.ai/tokenomics-and-protocol-design/distribution.md) - [Proof of Intelligence (old)](https://paper.chainopera.ai/tokenomics-and-protocol-design/proof-of-intelligence-old.md) - [Evolution to an L1 AI Chain (old)](https://paper.chainopera.ai/tokenomics-and-protocol-design/evolution-to-an-l1-ai-chain-old.md) - [ChainOpera AI Roadmap](https://paper.chainopera.ai/roadmap-and-research/chainopera-ai-roadmap.md) - [OpenSource](https://paper.chainopera.ai/roadmap-and-research/opensource.md) - [FedML Federated/Distributed Machine Learning Library](https://paper.chainopera.ai/roadmap-and-research/opensource/fedml-federated-distributed-machine-learning-library.md) - [Research Publications](https://paper.chainopera.ai/roadmap-and-research/research-publications.md) - [Team](https://paper.chainopera.ai/roadmap-and-research/team.md) - [ChainOpera AI Roadmap](https://paper.chainopera.ai/chainopera-ai-roadmap.md): Last Update: August 2025 - [Team](https://paper.chainopera.ai/team.md) - [OPEN SOURCE](https://paper.chainopera.ai/open-source.md) - [FedML Federated/Distributed Machine Learning Library](https://paper.chainopera.ai/open-source/fedml-federated-distributed-machine-learning-library.md) - [RESEARCH](https://paper.chainopera.ai/research.md) - [Research Publication](https://paper.chainopera.ai/research/research-publication.md) - [THE FUTURE](https://paper.chainopera.ai/the-future.md) - [Endless Innovation](https://paper.chainopera.ai/the-future/endless-innovation.md) - [CO-OWNERS](https://paper.chainopera.ai/todo/co-owners.md) - [AI Coin Issuers](https://paper.chainopera.ai/todo/co-owners/ai-coin-issuers.md) - [AI Coin Traders](https://paper.chainopera.ai/todo/co-owners/ai-coin-traders.md) - [CO-CREATORS](https://paper.chainopera.ai/todo/co-creators.md) - [Data Contributors](https://paper.chainopera.ai/todo/co-creators/data-contributors.md) - [Data Annotators](https://paper.chainopera.ai/todo/co-creators/data-annotators.md) - [AI Agent Developers](https://paper.chainopera.ai/todo/co-creators/ai-agent-developers.md) - [AI Application Developers](https://paper.chainopera.ai/todo/co-creators/ai-application-developers.md) - [Model Developers](https://paper.chainopera.ai/todo/co-creators/model-developers.md) - [GPU Providers](https://paper.chainopera.ai/todo/co-creators/gpu-providers.md) - [DEVELOPER DOCUMENTS](https://paper.chainopera.ai/todo/developer-documents.md) - [Model Deployment](https://paper.chainopera.ai/todo/developer-documents/model-deployment.md) - [GPU Supply](https://paper.chainopera.ai/todo/developer-documents/gpu-supply.md) - [Data Contribution](https://paper.chainopera.ai/todo/developer-documents/data-contribution.md) - [Model Training](https://paper.chainopera.ai/todo/developer-documents/model-training.md) - [Federated Learning](https://paper.chainopera.ai/todo/developer-documents/federated-learning.md) - [Launch Decentraliezd Serverless AI Jobs](https://paper.chainopera.ai/todo/developer-documents/launch-decentraliezd-serverless-ai-jobs.md) ## ChainOpera AI 백서 한국인 - [Page](https://paper.chainopera.ai/chainopera-ai/page.md) --- # Agent Instructions This documentation is published with GitBook. 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