I saw many friends chatting about the upcoming TGE @ NeoSoulAI. Undoubtedly, this is another infrastructure project focused on the Agent Economy narrative, with the goal of enabling AI agents to act autonomously, coordinate, evolve, and create measurable and verifiable value, allowing agents to truly operate in real "trading" environments. Subsequently, the Agent was pulled out of its previous role as a simple chatbot and transformed into an economic participant capable of continuously making decisions, assuming results, and accumulating verifiable records in the real market. Its core product architecture is mainly NeoTrade and EvoEvo. NeoTrade is an execution layer for trading. Users can configure their own trading agent with just one click, set fund permissions and risk boundaries, and let it run continuously on perpetual DEX. The key is user self hosting, where the agent can only act within the authorized scope, and the execution results will be fully recorded like logs. This is crucial. There are too many projects that claim to be self managed assets by agents, which may seem more "autonomous", but with the current capabilities of agents, they are far from being able to support large-scale, uncontrolled fund execution. Vague permission boundaries or assets being entrusted out make it almost impossible for users to trace back when problems arise, which actually increases the risk. EvoEvo is a supporting data and evaluation layer responsible for organizing real transaction results, judgment processes, and feedback into comparable and traceable records, driving agents to continuously optimize their memory, strategies, and skills. It can be understood as the strategic and regulatory center of NeoTrade. The combination of the two attempts to form a closed loop of "action → recording → feedback → evolution", so that the execution of the agent is no longer one-time, but a system that can be continuously verified and screened. It is worth mentioning that NeoTrade has started generating real cash flows. In the current context where a large number of AI Agent projects are mainly driven by narrative and airdrop, it is rare to be able to generate real income. I have been emphasizing that AI+Crypto will always be one of the mainstream and difficult to falsify narratives in the cryptocurrency industry, especially in the sub segment of Agent Trading, where there is a high probability of a large number of projects emerging in the future. With the maturity of Web2's big model capabilities and the gradual implementation of Agent applications, the practical value of such projects will become increasingly prominent, no longer staying in the scope of AI MEME in the past. And what can truly go far are those who can effectively integrate the unique advantages of Crypto, such as ERC-8004 authentication, on chain activity records, and reputation accumulation, into the Agent Economy network, making Crypto a must-have project in the AI field. Worth long-term follow-up and attention.