
你已经知道每周哪些时间被浪费了。手动将表单中的线索复制到CRM中。阅读、重新输入并归档发票。每天早上有人分类的支持收件箱。每个周五都要重建的报告。你听说过Zapier或Make可以做到这些——也许你试过一次,但它只完成了一半或悄悄坏了,于是你又回到了自己动手的方式。 这门课是为经营企业的人设计的,不是为写代码的人。它教授无代码自动化的真正学习方法:不是针对某个下季度就会改变的工具的点击路径,而是一小组你可以重新组合用于任何流程的构建块。触发器和动作。连接应用并保持这些连接活跃。过滤器、分支、循环。查找或创建步骤,防止重复创建同一条联系人。错误路径,它会在Slack中通知你,而不是静默失败。双向同步,如果不加防护就会无限循环。 然后它坦诚地讨论AI。AI确实擅长读取混乱的发票、分类工单或起草回复——但对于任何必须完全正确或在人工审核前发送的事情,它确实不擅长。你将学会把它作为一个经过验证和监督的步骤来使用,而不是一个魔法盒子。 最终,你可以接手一个真实流程,判断它是否值得自动化,构建它,加固它以防自动化故障,在AI能发挥作用的地方加入AI,并证明它节省的时间。你还会知道什么时候答案是“保留人工”——这是大多数教程跳过,也是区分一个持久的自动化和一个半年后就要拆解的自动化的关键部分。 无需代码。只需一套行之有效的方法。
Arif Pranoto has spent the past seven years developing digital products for Southeast Asia, where consumer behavior, infrastructure, and payment preferences can vary significantly from one market to the next. Based in Singapore and originally from Jakarta, he has led product initiatives across Indonesia, Vietnam, Thailand, and the Philippines, working on mobile commerce, merchant payments, and last-mile delivery platforms. At a regional fintech company, he introduced a lightweight merchant app designed for low-cost Android devices and unstable network conditions, helping more than 40,000 small businesses begin accepting QR and wallet payments. He later managed the expansion of a B2B ordering platform into Vietnam and Thailand, adapting onboarding flows, pricing, language, and customer support processes for each country rather than applying a single regional template. His work regularly involves local banks, e-wallet providers, logistics partners, and in-country commercial teams, and he is particularly experienced in building products for users who rely on WhatsApp, LINE, cash-on-delivery, and assisted onboarding. Arif is known for combining on-the-ground customer research with disciplined experimentation, turning fragmented regional requirements into products that can scale without losing local relevance.
great!
很实用,感谢!
too basic, expected more
Demasiado básico, esperaba más.