The recent key focus of AINFT is to advance AI agents from being 'able to generate' to 'able to operate autonomously on-chain': through the Bank of AI framework, integrating on-chain payments, identities, and DeFi capabilities into a single system, allowing AI agents to have a stronger execution loop. For the ecosystem, this means AI is no longer just a content tool, but can be orchestrated into real process execution units, significantly raising the application ceiling. ([X (formerly Twitter)][7])
At the same time, it's enhancing the 'last mile' with plug-in connectivity: launching the OpenClaw Extension, emphasizing its role as a bridge to stronger financial autonomy, making key capabilities into pluggable components. The significance of modularity is reusability: the same set of capabilities can be repeatedly called in different scenarios, lowering integration costs for developers and providing a more predictable user experience, ultimately moving from a one-time trial to long-term high-frequency use. ([X (formerly Twitter)][8])
@Justin Sun_孙宇晨 #TRONEcoStar @OfficialAINFT #TRON #AI #Agent
At the same time, it's enhancing the 'last mile' with plug-in connectivity: launching the OpenClaw Extension, emphasizing its role as a bridge to stronger financial autonomy, making key capabilities into pluggable components. The significance of modularity is reusability: the same set of capabilities can be repeatedly called in different scenarios, lowering integration costs for developers and providing a more predictable user experience, ultimately moving from a one-time trial to long-term high-frequency use. ([X (formerly Twitter)][8])
@Justin Sun_孙宇晨 #TRONEcoStar @OfficialAINFT #TRON #AI #Agent