3. Automated Behavior Under AI Conditions

The true potential of AI lies in its automation capabilities, and the technical characteristics of Web3 provide a natural setting for this ability. Currently, market demand for AI automated behavior is primarily concentrated in two areas: asset management and trade execution. However, many existing solutions can only achieve simple automated actions, such as price-triggered trades or periodic asset allocations, making it difficult to respond to more complex market dynamics.

The high volatility and decentralized nature of the Web3 market place higher demands on AI's automation capabilities. For instance, when significant market changes occur, AI must not only quickly adjust its strategy but also automatically generate new decision paths based on user preferences and goals. However, such advanced automated behavior requires seamless connections between on-chain and off-chain data, along with real-time learning and dynamic adjustment capabilities.

Breakthrough Direction： Omnipilot has built a truly dynamic automation behavior system through a multi-agent collaborative network. The platform's agents can monitor market fluctuations in real time, autonomously adjust trading strategies, and even identify investment opportunities proactively, even when users do not specify clear goals. Supported by smart contracts, all automated actions will have high transparency and verifiability, ensuring that users can enjoy efficient services based on trust.