AI 自動化工作流入門：n8n vs Make vs Zapier | AI Automation 101: n8n vs Make vs Zapier
By Kit 小克 | AI Tool Observer | 2026-03-27
🇹🇼 AI 自動化工作流入門：n8n vs Make vs Zapier
自動化工作流工具已經不是什麼新概念，但加上 AI 之後，它們的能力直接上了一個檔次。n8n、Make（前身 Integromat）和 Zapier 是目前最主流的三個平台。我三個都用過，以下是實際比較。
Zapier：最容易上手
Zapier 是自動化領域的老大哥，優勢在於整合數量多、上手門檻低。它支援超過 7000 個應用整合，拖拉設定就能建立工作流。2025 年加入的 AI 功能包括自然語言建立 Zap、AI 資料處理步驟等。
但 Zapier 的問題也很明顯：價格貴。免費方案限制極多，稍微有點量的使用就要付費。而且複雜的邏輯分支和錯誤處理做起來很彆扭。
Make：視覺化設計最強
Make 的最大賣點是它的視覺化流程編輯器，你可以看到每個節點之間的資料流動。它比 Zapier 更適合建立複雜的工作流，支援條件分支、迴圈、錯誤處理路徑等。價格也比 Zapier 便宜不少。
Make 的 AI 整合也做得不錯，支援 OpenAI、Anthropic 等主流模型的 API 呼叫。缺點是學習曲線比 Zapier 稍高，初次使用可能需要一些時間適應介面。
n8n：開發者的最愛
n8n 是三者中唯一的開源方案，可以自架在自己的伺服器上。這意味著你的資料不需要經過第三方、沒有執行次數限制、也沒有月費。它支援寫自訂 JavaScript/Python 程式碼，靈活度最高。
n8n 的 AI Agent 節點是一大亮點——你可以直接在工作流裡建立 AI Agent，串接各種工具，做到自主決策和多步驟執行。這在其他兩個平台上需要很多 workaround。
缺點：需要技術背景。自架需要懂伺服器管理，除錯也比較依賴開發者經驗。
三者比較表
- 易用性：Zapier > Make > n8n
- 靈活度：n8n > Make > Zapier
- 價格：n8n（自架免費）> Make > Zapier
- AI 整合深度：n8n > Make > Zapier
- 整合數量：Zapier > Make > n8n
Kit 怎麼選？
如果你是非技術背景、只需要簡單串接，選 Zapier。如果你想要視覺化但又有些複雜邏輯，選 Make。如果你是開發者、重視資料隱私、或者想做 AI Agent 工作流，n8n 是目前最強的選擇。
Kit 的結論：2026 年，自動化工具已經不只是「如果這樣就那樣」的簡單觸發器。AI 加持下，它們變成了真正的智慧工作流引擎。選對工具，效率差十倍。
🇺🇸 AI Automation 101: n8n vs Make vs Zapier
Workflow automation tools are not new, but adding AI has taken their capabilities to a whole new level. n8n, Make (formerly Integromat), and Zapier are the three most popular platforms. I have used all three extensively, and here is a practical comparison.
Zapier: Easiest to Start With
Zapier is the veteran in the automation space. Its strengths are massive integration count and low barrier to entry. It supports over 7,000 app integrations, and you can build workflows with drag-and-drop. AI features added in 2025 include natural language Zap creation and AI data processing steps.
But Zapier's issues are clear: it is expensive. The free plan is extremely limited, and any moderate usage requires a paid plan. Complex logic branching and error handling are also awkward to implement.
Make: Best Visual Designer
Make's biggest selling point is its visual flow editor, where you can see data flowing between each node. It handles complex workflows better than Zapier, supporting conditional branches, loops, and error handling paths. Pricing is notably cheaper than Zapier too.
Make's AI integration is solid, supporting API calls to OpenAI, Anthropic, and other major models. The downside is a slightly steeper learning curve than Zapier — first-time users may need some time to get comfortable with the interface.
n8n: The Developer's Favorite
n8n is the only open-source option among the three. You can self-host it on your own server, meaning your data never passes through a third party, there are no execution limits, and no monthly fees. It supports custom JavaScript/Python code, offering maximum flexibility.
n8n's AI Agent node is a standout feature — you can build AI Agents directly within workflows, connect various tools, and achieve autonomous decision-making and multi-step execution. This requires many workarounds on the other two platforms.
Downside: requires technical background. Self-hosting needs server management skills, and debugging relies more on developer experience.
Comparison Summary
- Ease of use: Zapier > Make > n8n
- Flexibility: n8n > Make > Zapier
- Pricing: n8n (free self-hosted) > Make > Zapier
- AI integration depth: n8n > Make > Zapier
- Number of integrations: Zapier > Make > n8n
How Does Kit Choose?
Non-technical and need simple connections? Zapier. Want visual design with complex logic? Make. Developer who values data privacy or wants AI Agent workflows? n8n is the strongest choice right now.
Kit's verdict: In 2026, automation tools are no longer just simple "if this then that" triggers. With AI, they have become true intelligent workflow engines. Choose the right tool and your efficiency gap is 10x.
Sources / 資料來源
AI 工具觀察站 — 每日精選 AI Agent 與工具趨勢
AI Tool Observer — Daily curated AI Agent & tool trends
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