概览
主要功能
- 可视化场景画布
- 数千个预构建应用连接器
- 支持 AI 和 LLM 集成
- 智能代理和工作流程调度
- 排程、 webhook 和错误处理
- 模板库和团队协作
价格
- 模型
- Free
- 评分
- 4.2 / 5 (6)
使用场景
自动化市场营销工作流
在可视化画布上连接市场营销工具,自动化领导指引、 LLM 生成内容和多步骤活动任务,无需编码。
AI 驱动的文档处理
构建场景,自动吞入口文件、使用 AI 模型提取数据并将结果路由到 CRM или电子表格等下游应用。
客户支持调度
创建智能代理,解决票务、draft AI 回应,触达帮助台、聊天和内部工具来加速解答率。
跨 App 销售操作
同步销售平台数据、丰富线索和自动进行跟进,使用预建连接器和排程触发器来简化营销通道。
优点 & 缺点
优点
- 直观的拖放式可视化构建
- 庞大的应用积分库
- 支持 AI 模型和自定义代理
- 灵活的定价方案,包括免费版本
- 可重用的模板加速设置
缺点
- 复杂场景可能难以调试
- 基于操作的定价在横向扩展时会累计
- 高级逻辑的学习曲线
评测
6 个评分的平均值。
登录以留下评测。
Does the job
Pretty happy overall. Template library and team collaboration just works and flexible pricing including a free tier. Operation-based pricing adds up at scale can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.
Does the job
Pretty happy overall. Scheduling, webhooks, and error handling just works and flexible pricing including a free tier. but no dealbreakers — I'd recommend it to a friend without hesitating.
Solid for our team
We rolled this out across the team last quarter and large library of app integrations. Scheduling, webhooks, and error handling fits neatly into how we already work, and template library and team collaboration removed a step we used to do by hand. Complex scenarios can be hard to debug, which is the main caveat, but it has held up under daily use.
Solid for our team
We rolled this out across the team last quarter and flexible pricing including a free tier. Thousands of pre-built app connectors fits neatly into how we already work, and scheduling, webhooks, and error handling removed a step we used to do by hand. Learning curve for advanced logic, which is the main caveat, but it has held up under daily use.
Does the job
Pretty happy overall. AI and LLM integrations just works and reusable templates speed up setup. Learning curve for advanced logic can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.
Solid for our team
We rolled this out across the team last quarter and intuitive drag-and-drop visual builder. Scheduling, webhooks, and error handling fits neatly into how we already work, and template library and team collaboration removed a step we used to do by hand. Complex scenarios can be hard to debug, which is the main caveat, but it has held up under daily use.
问答
What are the main challenges when building complex automations in Make?
While the drag‑and‑drop interface is intuitive, highly complex scenarios can be difficult to debug because error handling and step tracing are visual rather than code‑based. Additionally, operation‑based pricing may increase costs quickly if the workflow runs at high frequency or processes large data volumes.
Asked by Henrik Dahl · Jun 4, 2026
How can I incorporate AI or large language models into my workflows?
Make’s visual canvas lets you add AI steps by connecting to LLM providers or custom models. You can generate text, summarize documents, or build decision‑making agents directly within a scenario, chaining the AI output to subsequent actions like sending emails or updating databases.
Asked by Salome Beridze · May 29, 2026
What kind of app integrations does Make provide and can I connect custom APIs?
Make includes thousands of pre‑built connectors for popular SaaS tools across marketing, sales, IT, and support. For services not listed, you can use HTTP modules, webhooks, or custom API calls to integrate any RESTful endpoint, allowing you to extend the platform beyond the native library.
Asked by Ola Eriksen · May 18, 2026
How does Make’s pricing work and what’s included in the free tier?
Make offers a free tier that lets you build and run scenarios with a limited number of operations per month. Paid plans are billed based on the volume of operations you execute, so you pay more as your automations run more frequently. This model scales from solo builders to enterprise workloads.
Asked by Sanjay Gupta · May 10, 2026
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