WeChat has recently rolled out Xiaowei, an AI assistant seamlessly integrated into its home screen. In contrast to Yuanbao, which initially functioned as a standalone service, Xiaowei harnesses the full potential of system capabilities to streamline task completion for users within the WeChat ecosystem. It operates on the self-developed WeLM model, which prioritizes privacy safeguards, comprehensive operational scope, and cost-efficiency. Simultaneously, WeChat has established clear-cut permission boundaries for third-party agents, restricting their interactions to communication while retaining ultimate control over core scheduling functions. As WeChat propels its AI initiatives forward, it adheres to a strategy of incremental data accessibility—commencing with public content, progressing to user-authorized data, and now venturing into reading local chat histories, albeit with explicit user consent, to enhance Moments expression. This meticulous approach strikes a delicate balance between functional augmentation and privacy concerns. Despite not boasting superior chatbot capabilities, WeChat capitalizes on its massive user base of 1.4 billion, extensive mini-program offerings, robust payment infrastructure, and intricate acquaintance networks to steer its AI development towards task execution, thereby reconfiguring service entry points. The demand instruction allocation rights introduced by Xiaowei are poised to revolutionize WeChat's ecosystem traffic and commercial dynamics, shifting the competitive landscape for merchants from mere visibility battles to securing agent endorsements. At present, WeChat upholds merchant autonomy, opting to absorb AI-related costs through its existing commercial revenue streams. It maintains a strict demarcation between transactional agency and social expression agency, entrusting users with the final say on critical actions such as payments and posts. Leveraging its technical prowess, WeChat is gradually expanding the open boundaries for agents, guided by robust risk management protocols and user trust-building measures.