Cobo Showcases Agent Transaction 'Contractual Execution' Solution: Completing Multi-step Operations in One Authorization, Balancing Autonomy and Security

April 21 — At the "Decoding Web 4.0: When AI Agents Take Over On-Chain Governance" event, Cobo showcased its AI agent-focused "Contractual Execution" mechanism in a live demo session, highlighting how the tool works in real-world transaction scenarios. Built on four core components — intent, execution path, constraint rules, and completion conditions — the mechanism structurally defines each transaction, letting AI agents act autonomously within pre-set parameters. For basic use cases like token swaps, users only need to approve the contract one time. Once greenlit, AI agents execute transactions automatically within set constraints. When a transaction completes, the contract terminates and switches to a pending trigger state to avoid long-term permission risk exposure. For complex use cases like cross-chain bridges, AI agents can plan paths autonomously (including choosing bridges, executing routes, and more) and package the full execution plan into a set of contracts for user approval. Once approved, subsequent multi-step actions don’t need individual signatures, significantly boosting execution efficiency.