[Crypto World] Alex Shevchenko, co-founder of Aurora, proposed that the Intents architecture can solve the complexity of cryptocurrency operations. This model allows users to declare their objectives (such as “paying $5 for coffee”), while the backend system automatically handles wallet interactions, cross-chain routing, and transaction settlements, eliminating the need for manual processing of addresses, Gas fees, and network selection. The core innovation lies in separating interaction logic from the execution layer: users are authenticated through wallet-less methods like biometrics, while smart contracts execute asset custody and on-chain settlements, all while retaining decentralized features like proof of reserves. This architecture supports multi-scenario applications, including cross-chain asset portfolio management, dynamic yield strategies, and conditional micropayments, laying the foundation for AI financial agents. Shevchenko emphasized that blockchain truly moves toward mainstream applications when users can complete on-chain interactions without understanding the underlying technology. The intent-driven system, combined with AI assistants, will reconstruct the DeFi interaction paradigm, achieving a traditional finance-level operational experience.
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Aurora Founder: Intent-Driven Architecture Combined with AI Will Restructure the Decentralized Finance Interaction Experience
[Crypto World] Alex Shevchenko, co-founder of Aurora, proposed that the Intents architecture can solve the complexity of cryptocurrency operations. This model allows users to declare their objectives (such as “paying $5 for coffee”), while the backend system automatically handles wallet interactions, cross-chain routing, and transaction settlements, eliminating the need for manual processing of addresses, Gas fees, and network selection. The core innovation lies in separating interaction logic from the execution layer: users are authenticated through wallet-less methods like biometrics, while smart contracts execute asset custody and on-chain settlements, all while retaining decentralized features like proof of reserves. This architecture supports multi-scenario applications, including cross-chain asset portfolio management, dynamic yield strategies, and conditional micropayments, laying the foundation for AI financial agents. Shevchenko emphasized that blockchain truly moves toward mainstream applications when users can complete on-chain interactions without understanding the underlying technology. The intent-driven system, combined with AI assistants, will reconstruct the DeFi interaction paradigm, achieving a traditional finance-level operational experience.