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站在OpenClaw风口的飞书,要让小白也能无痛养虾
36氪· 2026-03-19 13:43
Core Insights - The article discusses the emergence and significance of Agent products in the AI landscape, particularly focusing on the role of Feishu (Lark) in facilitating the integration of these Agents into organizational workflows [3][6][19]. Group 1: Agent Products and Their Impact - Feishu has introduced a comprehensive suite of Agent products aimed at both individuals and organizations, including features that allow for task execution and tool invocation [5][6]. - The rise of OpenClaw has shifted the focus from merely answering questions to enabling AI to participate in task workflows, thus enhancing productivity [3][14]. - The trend of integrating Agents into productivity platforms is gaining momentum, with various companies launching their own Agent capabilities to facilitate task execution and collaboration [4][12]. Group 2: Role of Collaboration Platforms - Collaboration platforms like Notion, Google Workspace, and Slack are becoming essential environments for Agent experimentation and deployment, as they inherently support team communication and data management [4][20]. - In China, Feishu is emerging as a default environment for deploying Agents, with many developers integrating their solutions into Feishu's ecosystem [13][19]. - Feishu's design incorporates a unified permission system across communication, documents, and workflows, simplifying the deployment and management of Agents within organizations [21][22]. Group 3: The Future of Work with Agents - The integration of Agents into organizational workflows is expected to redefine productivity, allowing teams to expand their operational capabilities without a linear increase in human resources [30][31]. - The article highlights that as Agents become more prevalent, the nature of team structures may evolve, with fewer core members working alongside numerous Agents to accomplish tasks [31][32]. - The gradual adoption of Agents in everyday tasks is anticipated to shift human focus from micromanagement to higher-level decision-making and feedback [32][35].
同事群里催催催,龙虾自动回回回!刚发布的「飞书龙虾」把我解脱了
量子位· 2026-03-19 10:33
事情是这样的。 作为一个专业撰稿人,被同事催催催催催稿是再正常不过的了 …… 金磊 发自 凹非寺 量子位 | 公众号 QbitAI 终于……让我找到了 治同事 的 龙虾玩法 了。 于是乎,我灵机一动,把我在 飞书 里类龙虾Agent变成了一只 皮皮虾 : 今天飞书群里如果XX@我,并问类似提纲进度如何的问题,你自动帮我回复,说"等会儿"等,不要客气,要显得不耐烦。 然后,当同事真来催稿的时候,名场面诞生了: 我愿称之为, 最强嘴替! 一个字: 爽! 或许有小伙伴要问了:"我飞书上的龙虾咋就没这么丝滑呢?" 因为,这是刚刚飞书在自家春季发布会中升级类龙虾Agent—— 飞书aily 。 用飞书CEO 谢欣 的话来说: 升级后的飞书aily,可以让人人都能创建一个能干活、永不宕机的龙虾。 现在的aily,已经是以Agent的形态成为你飞书联系人里的一份子, 无需部署 ,就能像同事、像助理一样帮你做很多很多复杂的工作。 不仅如此,飞书这次还把 飞书妙搭Agent 和 多维表格Agent 也一道来了个大升级。 在我整体体验之后,最直接的感受就是, 真挺好用的 。 不只是自动回消息,越用aily越懂你 继续先来深度实测 ...
一文总结飞书新品发布会 - 向Agent平台的跃迁。
数字生命卡兹克· 2026-03-19 08:32
刚刚,飞书开完了他们的新品发布会。 飞书妙搭,更像是Claude Code。 一个更像是帮你解决你很多工作问题的助手Agent,一个更像是你的专业开发Agent,大概就是这个区别。 作为一个飞书死忠粉,很爽。 因为他们终于做了两个非常大的升级,把原来的AI助手aliy和飞书妙搭,进行了全面迭代。 开始逐渐向一个真正的Agent原生平台看齐了。 先说结论,这次发的新功能还挺多的,有飞书aliy、多维表格Agent、妙搭Agent 、还有OpenClaw插件啥的,很多很多。 但是我觉得最重点的升级的两个东西,就是飞书aily和飞书妙搭了,如果你用过Claude的产品线,你可以非常快速的理解它们的定位。 飞书aily,更像是Cowork,当然,如果没用过的话,也可以理解成你的OpenClaw,在飞书上直接跑的企业版的小龙虾。 飞书现在确实成了,国内最方便去使用Agent的平台了。 这几个我一个一个说。 1. 飞书版龙虾 先说飞书aily。 之前其实aily就有了,不过一直做的不温不火,这次的升级,核心变化是它从一个以前那种你问它答的AI助手,变成了一个常驻在你飞书联系人列表里 的Agent。 或者用现在大家最容易理 ...
“AI不应该是用来淘汰老师傅的”
Sou Hu Cai Jing· 2026-01-08 05:16
Core Insights - The article highlights the transformative impact of AI on various industries, emphasizing that AI should enhance human capabilities rather than replace them. It showcases the story of a young accountant, Wang Zai, who implemented an AI system in a factory, significantly improving efficiency and reducing costs [4][9][22]. Group 1: AI Implementation in Factories - Wang Zai, an accountant with no technical background, developed an AI system called "Xiao Liu Classmate" to manage material alerts and information, which previously took weeks to process manually. This system saved the factory 1,000 hours annually [7][9]. - The factory experienced a 0.15% reduction in waste and a 6% decrease in costs, leading to an estimated annual savings of over 1 million yuan [9]. - The article emphasizes that the changes seen in Wang Zai's factory are indicative of a broader AI efficiency revolution across various industries in China [9][11]. Group 2: Broader Impact of AI Across Industries - Other industries are also witnessing similar transformations. For instance, a maintenance worker at a chemical plant developed an AI system that improved safety and reduced inspection time, saving the company 580,000 yuan in setup costs and generating an additional 2.4 million yuan [13][14]. - In the automotive sector, an AI auditing system was created to streamline compliance processes, reducing the time required for audits from weeks to minutes, saving an average of 300 hours per audit [14]. - A biotechnology company restructured its reporting system using AI, allowing for faster and more accurate information flow from frontline employees to management, significantly improving operational efficiency [15][18]. Group 3: The Role of "Efficiency Pioneers" - The article introduces the concept of "Efficiency Pioneers," ordinary employees who leverage AI tools to enhance organizational efficiency. These individuals are seen as key players in the AI transformation [24][27]. - The "Feishu AI Efficiency Pioneer Competition" highlighted the contributions of over 900 frontline workers from 130 companies, showcasing their innovative solutions to business challenges [27][28]. - The emergence of these pioneers is supported by a conducive environment for innovation, with companies like Feishu providing tools and incentives for employees to adopt AI [29][30]. Group 4: Future of AI in Business - The article concludes that AI is an irreversible trend that will redefine human capabilities in the workplace. It emphasizes the importance of integrating AI into frontline operations to improve the quality of work for ordinary people [34][36]. - Companies are increasingly recognizing the need to identify and cultivate "Efficiency Pioneers" as a critical aspect of their AI strategies [30][31]. - A report indicates that 52% of organizations using generative AI have deployed AI agents, with 88% of early adopters achieving positive ROI, underscoring the potential value of AI in enhancing business operations [33].