神译局是36氪旗下编译团队，关注科技、商业、职场、生活等领域，重点介绍国外的新技 术、新观点、新风向。 编者按：工具过载的2026，只会提问已远不够。从"氛围编程"到全能代理，这份S级清单划出了生产力 真正的分水岭。文章来自编译。 以下是它们的各自优势所在： 在接下来的章节中，我将详细介绍它们在这些任务中脱颖而出的原因。 A 级：大多数人都应该使用的工具 学习利器：NotebookLM NotebookLM 是一款用 Gemini 技术驱动的 AI 研究工具，其核心优势在于能够基于你提供的文档进行工 作。你可以上传 PDF、Google 文档或会议记录，它会自动生成摘要、提供带有引用来源的解答，甚至 能将其转化成播客内容。 如果你打算学习一款新的 AI 工具，请务必从以下清单中选择。 在过去的三年里，我针对不同的任务测试了数十款 AI 工具。 它们当中有些表现惊艳，有些差强人意，还有一些已经退出了历史舞台。 以下是我发现的最出色的 AI 工具。我已按类别对其进行了整理，并划分为不同的等级。此外，我还为 大多数工具提供了学习指南。 S 级：全民必备的 AI 工具（至少选择其一） 毫无疑问，ChatGPT、Gem ...

「软件不应再等待被使用，而是在需要它的那一刻才存在。」 这是 Agencize AI 创始人张浩然，对于 AI-Native 时代工作流/软件该如何设计的一种回答。 多年 SaaS/无代码创业的经历，2021 年、2025 年两次登上奇绩创坛的 Demo Day，做了十几年生产力工具的张浩然，对于 AI 工作流有很多自己的想 法。 「我们想解决的不是 『做 AI 工作流』，是『根本不需要有工作流』。 所有要求用户『预先构建工作流』的 Agent 都是错的。 」 在他看来，SaaS 不会因为 Agent 而消亡，但 SaaS 会成为 AI 时代新的基础设施，Agencize AI 会为用户即时生成各类个性化的软件，连接和利用好传 统 SaaS 软件。 在 Agencize AI 产品发布之前，我们和张浩然聊了聊他对于生产力工具和工作流的看法，以及 Agencize AI 的真正竞争力。 产品官网：https://agencize.ai/ 超 19000 人的「AI 产品市集」社群！不错过每一款有价值的 AI 应用。 邀请从业者、开发人员和创业者，飞书扫码加群： 以前做这些事特别麻烦，每天只能手动处理，效率很低。 ...

If you've ever tried to track down where your images end up online, you know it's a nightmare. Manual searching takes forever, and you're bound to miss stuff. That's the problem Copyseeker set out to solve—and today, it just got a whole lot easier with the release of an official n8n community node. The node is live on npm: https://www.npmjs.com/package/n8n-nodes-copyseeker What's the big deal? n8n is one of the most popular workflow automation tools out there, and now Copyseeker users can plug reverse image ...

Core Viewpoint - Traditional SaaS applications like CRM and ERP systems will not be replaced but will evolve to serve as the infrastructure for AI Agents, which will enhance the importance of data definition and interpretation within enterprises [2][10][15] Group 1: The Role of AI Agents - AI Agents will not eliminate traditional software systems; instead, they will necessitate a clearer separation between how tasks are performed and the sources of facts [2][10] - The effectiveness of AI Agents is contingent upon their ability to access and understand the correct data from various systems, highlighting the need for accurate and structured input data [2][9] - The emergence of AI Agents creates significant entrepreneurial opportunities for companies that can help businesses manage and structure their unstructured data [3][10] Group 2: Data Management Challenges - A significant portion of enterprise knowledge (80%) exists in unstructured data, which is becoming increasingly difficult to manage [2] - The complexity of data definitions within organizations leads to discrepancies in key metrics like Annual Recurring Revenue (ARR), complicating the role of AI Agents in providing accurate information [7][11] - The traditional approach of consolidating data into warehouses has only partially succeeded, as operational teams still rely on individual systems for real-time transactions [8][10] Group 3: Evolution of Systems - CRM and ERP systems will transition from user-centric interfaces to machine-oriented APIs, allowing AI Agents to interact with these systems programmatically [12][15] - The core value of enterprise systems lies in their ability to encapsulate chaotic data, which will remain essential despite changes in interface and interaction methods [13][15] - The demand for a clear, authoritative source of truth will only increase as AI Agents become more prevalent in business processes [14][15] Group 4: Future of Data Infrastructure - The combination of data warehouses, semantic layers, and governance tools will form the foundation for AI Agent workflows, evolving beyond traditional reporting systems [10][12] - The valuation of AI platforms will increasingly depend on their ability to define and manage facts, rather than just their user interfaces [14][15] - Companies that can create exceptional AI Agent experiences based on reliable data sources will have a competitive advantage in the evolving landscape [15]

种子轮拿到数百万美元融资、估值近千万，朱啸虎的金沙江创投、高瓴创投和 Classin 共同投资。 Refly.AI 给自己的定位是更适合大众的 Vibe Workflow 产品。 为什么要做 Vibe Workflow？原因很简单，现在的 Workflow 产品 n8n、扣子都太难用，以及团队对于 Workflow 价值的认可。 他们的目标，是让不会技术的人也能轻松把自己的流程经验复制并分享给其他人，实现价值。 不仅仅是用 AI 来降低搭建 Workflow 的难度，Refly.AI 还把 n8n 中的节点升级成为单独的 agent，每个 agent 配上 2-3 个工具。在保留 agent 动态性的同 时，获得传统 Workflow 的可控性与稳定性。 看起来有些激进，但 Refly.AI 确信这样的方式才是有效利用模型能力的最好方式。 为什么如此笃定？既然做 Workflow，怎么控制成本，怎么保证完成度？Refly.AI 取代 n8n 的底气又来自哪里？ 在 Refly.AI 的新版本发布之际，我们和创始人& CEO 黄巍聊了聊，想搞清楚，AI-native 的 Workflow 应该长什么样。 以下内 ...

Core Insights - Data is a critical risk point for startups, even if it may not serve as a competitive moat [1] - Different types of user data, AI-generated content, and various media have distinct legal risks and processing requirements [2] - For companies expanding overseas, prioritizing compliance risks is essential due to frequent litigation and infringement disputes [3] Group 1: Workshop Details - The workshop features partners Zheng Wei and Sun Qimin from Beijing Xingye Law Firm, focusing on compliance and high-risk issues faced by AIGC startups during international expansion [4] - The event is scheduled for December 18 at 8 PM and will be held online [5] - Participation is limited and requires a screening process for registration [6] Group 2: Key Discussion Topics - During the model training phase, it is crucial to determine which types of data, such as synthetic data, copyrighted content, and user behavior data, can be utilized [8] - There are specific considerations regarding infringement risks associated with different data types, including code, images, and audio/video [8] - Clarification is needed on the ownership of AI-generated content and the delineation of data usage rights and intellectual property for ToB and ToC applications [10] - Companies must address cross-border data transmission, local storage, and data isolation when expanding their products internationally [10]

种子轮拿到数百万美元融资、估值近千万，朱啸虎的金沙江创投、高瓴创投和 Classin 共同投资。 Refly.AI 给自己的定位是更适合大众的 Vibe Workflow 产品。 为什么要做 Vibe Workflow ？原因很简单，现在的 Workflow 产品 n8n、扣子都太难用，以及团队对于 Workflow 价值的认可。 他们的目标，是让不会技术的人也能轻松把自己的流程经验复制并分享给其他人，实现价值。 不仅仅是用 AI 来降低搭建 Workflow 的难度，Refly.AI 还把 n8n 中的节点升级成为单独的 agent，每个 agent 配上 2-3 个工具。在保留 agent 动态性的同 时，获得传统 Workflow 的可控性与稳定性。 看起来有些激进，但 Refly.AI 确信这样的方式才是有效利用模型能力的最好方式。 为什么如此笃定？既然做 Workflow，怎么控制成本，怎么保证完成度？Refly.AI 取代 n8n 的底气又来自哪里？ 在 Refly.AI 的新版本发布之际，我们和创始人& CEO 黄巍聊了聊，想搞清楚，AI-native 的 Workflow 应该长什么样。 以下 ...

Core Insights - The article highlights the top 10 innovative AI-driven tools and platforms for the week of October 13-19, 2025, focusing on their unique features and target audiences. Group 1: Nora - Nora is an AI coding agent designed for Web3 developers, focusing on secure smart contract and decentralized application (dApp) development [3][5] - It automates the generation, testing, and deployment of secure smart contracts, ensuring production-level security and performance standards [5][6] - Nora has received 792 Upvotes and 37 comments, indicating strong community interest [7] Group 2: Flask - Flask is a video collaboration platform tailored for creative teams, combining organizational note-taking and video feedback functionalities [8][9] - It emphasizes intuitive tools for video feedback management, including timeline-synchronized annotations and version tracking [11] - Flask garnered 794 Upvotes and 115 comments, reflecting its popularity among users [12] Group 3: Emergent - Emergent 2 is a multi-agent AI-driven full-stack application generation platform that uses natural language as a programming language [13][14] - It automates the entire development process, including front-end, back-end, and database design, making it suitable for non-programmers [18][19] - Emergent received 670 Upvotes and 130 comments, showcasing its appeal [20] Group 4: Orchids - Orchids is an AI full-stack engineering platform that allows users to generate complete websites and applications through conversational input [21][25] - It automates the entire development process, from prototyping to deployment, making it accessible for users without programming backgrounds [26][27] - Orchids achieved 607 Upvotes and 46 comments, indicating user engagement [28] Group 5: n8n - n8n is an open-source low-code workflow automation platform that integrates code seamlessly, catering to technical users [29][30] - It supports complex logic and custom workflows, making it ideal for developers and data teams [31][32] - n8n received 574 Upvotes and 18 comments, reflecting its utility [34] Group 6: KaneAI - KaneAI is the first GenAI native testing agent launched by LambdaTest, designed for quality engineering teams [35][36] - It enables test script creation and management through natural language, significantly lowering the barrier for test automation [37][38] - KaneAI garnered 566 Upvotes and 30 comments, indicating interest from the QA community [40] Group 7: Scorecard - Scorecard is an AI quality management platform that combines large language model evaluations with human feedback [41][42] - It provides end-to-end AI model quality management, ensuring continuous monitoring and improvement [45][46] - Scorecard received 520 Upvotes and 28 comments, highlighting its relevance in high-risk industries [47] Group 8: Mailmodo - Mailmodo is an AI-driven interactive email marketing platform that simplifies and enhances email marketing efficiency [48][49] - It allows users to create and automate marketing content using natural language, catering to small and medium enterprises [50][51] - Mailmodo achieved 513 Upvotes and 75 comments, reflecting its effectiveness [54] Group 9: Google Flow - Google Flow is an AI video creation platform based on Veo 3.1, aimed at filmmakers and content creators [55][56] - It automates video generation and audio synchronization, enhancing the storytelling experience [57][58] - Google Flow received 504 Upvotes and 14 comments, indicating user interest [59] Group 10: Supercut - Supercut is an AI-powered video messaging tool designed for busy teams to create and share professional video content quickly [60][63] - It simplifies the recording process and automatically generates chapters and subtitles, making it suitable for remote communication [63][64] - Supercut garnered 471 Upvotes and 83 comments, showcasing its utility for team communication [66]

Core Insights - The article explains the concept of Webhook in simple terms, comparing it to a "doorbell" for systems to notify each other in real-time, eliminating the need for constant polling [2][10][12]. Group 1: Understanding Webhook - Webhook is described as a "reverse" API that allows systems to send notifications to each other without the need for constant inquiries [10][12]. - The traditional API method requires users to actively check for updates, which is inefficient and resource-consuming [6][7]. - Webhook simplifies this process by allowing systems to push notifications when specific events occur, such as payment confirmations [12][14]. Group 2: Installation and Functionality - Setting up a Webhook involves three main steps: providing a Callback URL, specifying the events to subscribe to, and handling incoming notifications [17][20][23]. - The Callback URL acts as the "address" where notifications will be sent, and it must be configured in the system that will send the notifications [18][19]. - The system sends an HTTP POST request containing a Payload with relevant information when an event occurs [24][26]. Group 3: Common Pitfalls - Security is a major concern, as the Webhook URL is publicly accessible, making it vulnerable to unauthorized requests [29][30]. - Implementing signature verification is crucial to ensure that notifications are legitimate and from trusted sources [33][35]. - Handling duplicate notifications is necessary to prevent processing the same event multiple times, which can lead to errors [39][40]. Group 4: Practical Implementation - The article provides a step-by-step guide for setting up a Webhook receiver using Python and Flask, including code examples [26][50][56]. - It emphasizes the importance of using tools like Ngrok to expose local servers to the internet for testing purposes [62][63]. - Postman is recommended for sending test requests to verify the Webhook functionality [70][73]. Group 5: Automation with n8n - The article concludes by demonstrating how to integrate Webhook functionality into n8n for automated workflows, allowing for seamless communication between systems [75][88]. - It highlights the shift from a "pull" model to a "push" model in system interactions, enhancing efficiency and responsiveness [85].

Core Insights - The emergence of Sora 2, a content generation tool, has raised significant discussions regarding its potential and implications for various industries, particularly in automation and efficiency [1][2] - The release of Sora 2's official API and guidelines by OpenAI has made it easier for businesses to integrate this technology into their operations, enhancing productivity [3][5] - The ability to generate high-quality videos in bulk through automation is seen as a transformative opportunity for sectors like e-commerce, where efficiency is crucial [6][67] Group 1: Technology and Integration - Sora 2 can produce videos that are nearly indistinguishable from real footage, presenting both opportunities and challenges for businesses looking to implement it in production workflows [2] - The official API and guidelines provided by OpenAI allow for seamless integration of Sora 2 into existing systems, enabling businesses to automate video generation processes [3][43] - The automation of video creation through tools like n8n can significantly reduce manual effort and errors, making it a valuable asset for companies with large inventories [6][67] Group 2: Practical Applications - Businesses can utilize Sora 2 to create promotional videos for numerous products efficiently, addressing the challenge of generating individual videos for each SKU [2][67] - The guidelines emphasize the importance of clear and detailed prompts when interacting with Sora 2, likening it to providing a technical brief to a photographer [7][11] - The integration of Sora 2 into workflows can lead to a more stable and scalable output, transforming it from a novelty into a practical tool for businesses [67] Group 3: Workflow Automation - The article outlines a step-by-step process for setting up an automated workflow using n8n, which connects Sora 2 with platforms like Feishu for efficient video generation [46][49] - Key components of the workflow include triggering tasks, reading prompts from a database, and uploading generated videos back to the system, ensuring a streamlined process [49][62] - The successful implementation of such workflows can lead to continuous production of high-quality content, enhancing a company's operational capabilities [67]