The integration of AI and Web3 is moving from concept to reality. Some projects are building Web3-native AI service ecosystems, attempting to incorporate decentralization principles throughout the entire process.

The core of this solution lies in connecting identity, data, and permissions. Developers can invoke various LLM capabilities on-chain, while users manage their data access permissions in a decentralized manner — it sounds simple, but achieving security and reliability is not easy.

The platform already supports integration with multiple mainstream language models. This means applications with different needs can find suitable tool combinations, rather than being locked into a single solution. Using on-chain transparency to enhance the flexibility of AI applications is an interesting idea. Gradually refining usable infrastructure, the Web3+AI path still has a long way to go.