「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。 ...

Core Insights - The role of AI Automation Engineer is emerging, focusing on enhancing team efficiency through AI workflows without requiring programming skills [3][4][10] - AI Automation Engineers bridge the gap between understanding AI potential and implementing it effectively within teams [4][10] - The position is expected to become more common across various sectors, with a shift in hiring practices towards candidates with AI automation skills [3][4] Group 1: Role Definition - AI Automation Engineers identify opportunities to improve team efficiency and create AI workflows to capitalize on these opportunities [3] - The role involves analyzing existing processes, quantifying costs, and prioritizing optimization opportunities [5][11] - Responsibilities include building reusable HR workflows and ensuring they benefit global HR teams [4][10] Group 2: Importance of AI Automation Engineers - Many teams struggle to translate AI concepts into actionable solutions, highlighting the need for AI Automation Engineers [4] - These engineers utilize tools like Zapier and ChatGPT to quickly prototype and develop reliable internal tools [4][10] - Their work not only enhances internal processes but also provides insights that can improve client operations [4][10] Group 3: Skills and Qualities Required - A background in technology is not necessary; curiosity and problem-solving skills are more critical for success in this role [8][10] - Key skills include prompt engineering, responsible AI practices, and the ability to select appropriate AI tools for specific tasks [9][10] - The focus remains on empowering team members to maximize the use of AI systems [10] Group 4: Practical Applications and Outcomes - AI Automation Engineers engage in hands-on collaboration to test prototypes in real workflows, adjusting as needed [11] - They track metrics such as time savings, error reduction, and improved business outcomes, demonstrating the effectiveness of AI implementations [11] - Successful workflows are packaged for sales teams to showcase to potential clients, emphasizing their impact on efficiency and problem-solving [11][12] Group 5: Industry Examples - Remote's IT department utilized AI to automate 27.5% of IT tickets, saving over 2,200 workdays and $500,000 in hiring costs [12] - Vendasta's marketing operations expert saved 282 workdays annually through AI automation in sales processes, recovering $1 million in revenue [12] - ActiveCampaign's product education manager implemented AI-driven solutions that allowed sales teams to focus on high-value activities [12]

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].

AI Learning Resources - AI For Everyone (Coursera) is recommended as a starting course for individuals with no technical background to learn AI basics [1] - ChatGPT, Notion AI, Zapier, Claude, and Perplexity are suggested as essential AI tools to learn [1] Influencers and Platforms - YouTube channels like Jeff Su, The AI Advantage, Futurepedia, Jordan Harrod, Skill Leap AI, and AI Master are valuable resources for learning about AI [1] Personal Recommendation - RT Vonn (@itsthewealth4me) shares a recommendation for learning AI basics in 2025 [1]