刘强东明确提出的"永不商业化"铁律——京东点评和真榜业务承诺永远不做商业化，这一原则直击当前 行业痛点：传统平台普遍存在的付费推广、刷评控评等乱象，导致用户对点评真实性信任度持续下滑。 引人注目的是，京东点评利用AI大模型分析全网消费场所数据，宣称打造全球首个AI生成榜单，涵盖 美食、酒店、景点等五大场景。其创新引入"京东美食八大家"虚拟人格增强文化属性；"京东真榜"则融 合AI全网评、用户复购数据及十万名用户参与的线下"买吃分离"盲测，实现"万人共荐，不说假话"的目 标。 值得留意的是，这并不是京东首次将AI融入本地生活领域。2025京东全球科技探索者大会上，京东就 推出基于JoyAI大模型能力推出的三款产品"京犀""他她它""JoyInside2.0"。其中，京犀App通过一句指令 就完成购物、点餐、订酒店等动作；面对C端服务场景，"他她它"数字人助手可以让帮忙用户点外卖、 做理财咨询，还能在学习时获得陪伴式指导。 美团的AI Agent战略在AI领域的布局同样引人注目。 导语：AI Agent在本地生活已从"能用"走向"敢用"，但仍需跨越复杂语义、跨平台协同与实时履约三大 门槛，才能达到好用水平。 20 ...

Core Insights - The article discusses the launch and functionality of Didi's AI travel assistant "Xiao Di," which aims to enhance user experience during peak travel times by providing personalized travel solutions [1][9]. Group 1: AI Travel Assistant Features - "Xiao Di" analyzes user requests and generates a complete travel plan after approximately 30 seconds of data processing, suggesting optimal departure times and monitoring conditions [1]. - The assistant can respond to vague requests, such as recommending nearby tourist attractions and matching users with suitable vehicles based on specific preferences [3][8]. - Users can describe their travel needs in detail, allowing the AI to present up to three vehicle options for manual confirmation, moving beyond traditional ride-hailing methods [8]. Group 2: Integration and Future Prospects - Didi has launched the MCP (Model Context Protocol) service, enabling other applications to integrate its AI travel capabilities, potentially allowing users to plan and book rides without opening the Didi app [9]. - The article highlights the broader trend of AI integration in travel and transportation, with other companies like T3 and Gaode also developing AI-driven solutions [9]. - Despite the promising advancements, Didi acknowledges that "Xiao Di" is still in its early stages and requires continuous learning from real-world scenarios to improve its service [9]. Group 3: User Experience and Perception - The AI assistant's ability to understand nuanced user needs, such as preferring a vehicle with a fresh atmosphere, signifies a shift from mere execution of commands to a more empathetic interaction [10]. - The article emphasizes the potential for AI to create a more human-like relationship in the travel experience, enhancing efficiency and user satisfaction [10]. - The ongoing development of AI in travel is seen as a significant step towards a more personalized and responsive service model, with users contributing to its evolution through feedback [10].

Core Viewpoint - The article discusses the transformative impact of AI on the ride-hailing experience through the introduction of "Xiaodi," a new intelligent assistant by Didi, which allows users to actively choose their ride preferences rather than passively waiting for a match [1][49]. Group 1: Xiaodi's Features - Xiaodi changes the traditional ride-hailing logic by enabling users to specify their preferences, such as vehicle type, air quality, and other personalized requirements [1][20]. - Users can interact with Xiaodi through voice or text to communicate multiple needs, enhancing the customization of their ride experience [20][23]. - The interface of Xiaodi resembles a chatbot, providing a more engaging and interactive experience compared to traditional ride-hailing apps [10][12]. Group 2: User Experience - The article highlights a seamless user experience where Xiaodi not only finds suitable vehicles but also provides detailed information about each option, including model, distance, estimated arrival time, and price [16][18]. - Users can track their ride history and expenses easily, making it particularly beneficial for business travelers [31][32]. - Xiaodi can assist in planning cost-effective travel routes even when not using a ride-hailing service, showcasing its versatility [29][31]. Group 3: MCP Service - Didi has launched the MCP service, allowing developers to integrate Xiaodi's capabilities into their applications, thus broadening the potential for personalized ride-hailing experiences [34][48]. - The MCP service offers different versions (Beta, Pro, Pro+) catering to various user needs, from simple experiences to comprehensive enterprise solutions [46][48]. - The rapid iteration and updates of the MCP service indicate a commitment to enhancing the AI-driven ride-hailing ecosystem [48]. Group 4: Industry Implications - The introduction of AI in ride-hailing not only benefits passengers but also enhances the visibility and earnings of drivers who provide better services [50]. - Didi's extensive experience and technological foundation in the ride-hailing sector enable it to implement AI solutions effectively, setting a precedent for future developments in the industry [51][52]. - The article suggests that as data accumulates, the AI models will become more sophisticated, continuously improving user experiences in ride-hailing [52].