INTERMEDIATE
The intersection of large language models and blockchain — from AI-assisted smart contract auditing and on-chain autonomous agents to verifiable ML inference, AI-driven DeFi strategies, and natural-language interfaces for decentralised applications.
Using LLMs to write, review, and audit Solidity — the productivity gains, the hallucination risks, and how to integrate AI tools responsibly into a smart contract engineering workflow.
Autonomous agents that hold wallets, sign transactions, and execute on-chain strategies — how they work, how to keep them safe, and the emerging frameworks (GOAT, Eliza, AgentKit) that make them practical.
The hard problem of trusting AI outputs on-chain — zkML proofs, optimistic ML, decentralised inference networks, and the trust assumptions behind each approach.
How machine learning reshapes DeFi — yield optimisation, ML-powered MEV, on-chain credit scoring, and the risks of autonomous capital management.
Architecture patterns for AI+Web3 applications — natural-language transaction interfaces, AI agents in DAO governance, and a capstone challenge to design a full AI-powered DeFi protocol.
