# Tokenomics and Protocol Design

- [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)


---

# Agent Instructions: 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://paper.chainopera.ai/tokenomics-and-protocol-design.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.