Wallstreetcn analysis points out that Meta's personal AI Agent product, Muse, released on September 8th, despite exceeding 2.5 million downloads in 13 days and driving Meta's stock price up 11.4% on September 21st, its "new entry point" business logic may be difficult to establish. The analysis believes that Muse faces a similar business model dilemma to Messenger chatbots a decade ago, performing well in answering "can things be done," but still lacking answers to the three key questions: "who will pay, who will approve, and will users stay?" The article reviews failed cases of "AI-driven new entry point" attempts such as Amazon Alexa, Messenger bots, ChatGPT plugins, and Rabbit R1, and points out that Muse still has walled gardens in account authorization, service connection, and checkout processes. Furthermore, its product logic of "eliminating time" fundamentally contradicts the "consuming time" model of recommendation feeds. In addition, Muse simultaneously charges users subscription fees and plans to charge merchants commissions. This conflict of interest may lead to merchants being unwilling to cooperate, and Amazon has already banned Muse for this reason. Analysts are cautious about Muse's revenue contribution, believing its contribution to Meta's earnings per share may be limited, and that Agent products are highly homogenized, with Meta lacking advantages in core assets such as Gmail, Chrome, and Android.