The Revival Path of the AI Agent Track

In the current market environment, the AI Agent sector is undergoing a transformation. With on-chain trading platforms facing setbacks and some token investors encountering losses, market sentiment is displaying a complex situation. Against this backdrop, the sub-track of AI Agents, DeFAI, is gradually shifting from a stage of conceptual hype to a stage of product strength competition.

Recently, a well-known decentralized trading platform for perpetual contracts announced the launch of its AI Agent product, making a full entry into the DeFAI field. This marks the team's third proactive breakthrough of its own limits in pursuit of innovative development. The platform had previously ventured into the NFT perpetual contract market on the Ethereum mainnet and has embraced multiple emerging public chain ecosystems.

The operation process of traditional decentralized exchanges is often cumbersome and complex, with each step potentially leading to user attrition. However, this platform's DeFAI product adopts an innovative approach by integrating trading functions into social media platforms. Users only need to send commands in natural language on Twitter, such as "Buy ETH with 20% of my funds," to complete the transaction.

This innovation not only significantly lowers the barrier to using DeFAI, but more importantly, it closely integrates trading with social interaction. For example, users can directly copy analysts' trading strategies in the comment section or place bets with friends in conversations regarding the trend of a certain token. This makes every trading suggestion potentially an executable smart contract.

Currently, DeFAI AI Agents in the market can be categorized into several types: all-purpose, token trading-focused, autonomous trading, and specific function types. This platform has chosen a differentiated path, focusing on perfecting perpetual contract trading. This strategy has several obvious advantages:

1. Hitting the Pain Point: Perpetual contract trading is highly specialized, and AI can effectively lower the barriers.
2. Clear profit model: trading fees are a direct source of income.
3. Deep technical accumulation: Based on a mature perpetual contract trading infrastructure, which is not easily replicable.

It is worth noting that the platform's AI Agent adopts a progressive feature rollout strategy. The initial phase only opens up spot trading, followed by the gradual introduction of advanced features such as leverage and stop-loss, ultimately achieving cross-chain trading capabilities. This strategy ensures the stability of user experience while continually maintaining market attention.

This attempt by DeFAI also confirms a viewpoint: AI Agents have an advantage as embedded service middleware, which helps simplify the trading experience. In contrast, the chat room interfaces used by some platforms may not be user-friendly enough for ordinary users, and the efficiency of expressing trading intentions is also lower.

In the future, AI Agents are likely to be deeply integrated with chain abstraction technology, jointly constructing an intent resolution layer that connects users with complex smart contracts. This will bring a more intuitive and efficient user experience to decentralized finance.