全球首款 AI Database Agent 诞生。 过去两年，AI 进步令人振奋，但对许多团队而言，真正的生产力红利并未抵达——多数应用仍停留在「聊天」的层面，难以落到业务场景与结果上。 「多维表格」被证明是降低应用门槛的一种方式。它终究只是解决了部分问题：复杂建模、自动化和跨系统打通，仍然要靠开发者。 如今，一个新玩家决定把这件事做到底。 9 月 18 日，AI Agent 赛道新成员 Teable 宣布完成数百万美元天使轮融资，投资方包括真格基金（Zhen Fund）、BV 百度风投（Baidu Ventures）与祥峰投 资（Vertex Ventures）。在此之前，北美时间 9 月 16 日，Teable 已在 X 平台发布全球首款多维表格智能体 AI Database Agent（Teable 2.0），凭借「对话 式建库、生成应用、自动化流程、数据分析与批量内容生成」的一体化能力，令用户用自然语言即可完成复杂数据工作；相关帖文浏览量已超过 110 万 （X 平台数据），在行业内引发关注。 Teable 在社交媒体 X 上发布，超 110 万浏览 Teable 的创始人陈加贝，这个名字在多维表格 ...

Core Viewpoint - The article discusses the evolution of AI products in China, highlighting a shift from rapid growth to a phase of refinement and competition based on user experience and retention [2][3][4]. Group 1: Current Landscape of AI Products - The AI product market is showing a "stronger stronger" trend, with the top five AI products capturing over half of the market share [9]. - Leading products such as Doubao, Quark, and DeepSeek dominate both web and app platforms, establishing themselves as national-level AI products [9]. - AI smart assistants remain the most popular category, accounting for approximately 40% of monthly active users on web platforms and daily active users on mobile apps [9]. Group 2: Evaluation Methodology - The "AI 100" dual list employs a combination of quantitative and qualitative assessment methods to ensure objectivity and accuracy [7][10]. - Quantitative metrics include user scale, growth, activity, and retention, with over 20 specific indicators such as total downloads and active user numbers [10]. - Qualitative assessments focus on long-term development potential, considering factors like underlying technology, market space, and monetization potential [10]. Group 3: Emerging Opportunities and Challenges - New opportunities are emerging in the low-code platform and AI programming tool sectors, with products like Vibe Coding gaining traction [11]. - Traditional popular sectors like AI creation and companionship face intense competition and challenges of homogenization, particularly in areas like AI writing and image generation [11]. - Smaller products are under pressure from larger competitors and may face marginalization unless they innovate in user interaction or product design [11]. Group 4: Insights from the Flagship and Innovation Lists - The flagship list indicates that large companies maintain dominance, with a focus on systematic capabilities and new market opportunities for breakthroughs [13]. - The innovation list highlights products that are rapidly growing and show potential for technical breakthroughs, often targeting niche markets [14][15]. - The trend towards vertical AI applications is increasing, with many small, specialized applications emerging in fields like healthcare and mental wellness [19]. Group 5: Future Implications - The dual structure of flagship and innovation products illustrates a comprehensive map of the AI product landscape, with established products evolving from tools to assistants [22]. - As user expectations shift from mere functionality to long-term value, AI products must demonstrate sustainability and market resilience [23][24]. - The outcomes of these evaluations will shape the AI industry landscape for the coming year and beyond [24].