Zapier、Make、n8n 怎麼選？

要快又好上手用 Zapier、要彈性與複雜邏輯用 Make、要開源自架省成本用 n8n。

怎麼讓工作流會思考？

在流程裡接 AI（如 ChatGPT API），讓它判斷意圖、分類、萃取或生成內容，自動化就從照規則變會思考。

AI 工作流能做什麼？

客服自動分類與回覆、新文章自動生成社群貼文並排程、email 附件自動萃取重點並通知等。

新手怎麼搭第一條工作流？

想清楚觸發→動作→結果，先做最簡單版本、用假資料測試、需要時再加 AI 步驟、上線後監控。

AI 工作流實戰：n8n、Zapier、Make 怎麼用、怎麼選

想把多個工具串成一條自動跑的流程？這篇比較三大自動化平台的特性，幫你選對、搭出第一條 AI 工作流。

Assembling Tools into a Self-Running Pipeline

Imagine this: someone fills out your form, and the system automatically stores the data in a spreadsheet, uses AI to write a personalized reply and send it out, and then notifies you on Slack - all without you lifting a finger. This is what's known as a "workflow", where multiple tools are connected through an automated process.

Three Major Platforms, How to Choose

Zapier: Integrates the most (over a thousand apps), easiest to get started with, suitable for non-engineering backgrounds, and ideal for quickly connecting common services.
Make: Strong in visualized workflows, high cost-performance ratio, and capable of handling more complex logic, suitable for those who want more flexibility.
n8n: Open-source, self-hostable, and allows writing code nodes, suitable for developers and teams that prioritize cost and data control.

In simple terms: use Zapier for speed, Make for flexibility, and n8n for self-hosting and cost savings.

Incorporating AI, Making Workflows "Think"

These platforms can all be connected to AI (such as the ChatGPT API). Common AI workflows include:

Customer Service: Receive a message → AI determines intent and emotion → automatically categorizes or drafts a reply.
Content: New article published → AI generates social media posts for multiple platforms → automatically schedules.
Data: Receive an email attachment → AI extracts key points → stores in database and notifies.

For more advanced workflows that can decide on steps themselves, look into AI agent platforms like Lindy and Gumloop.

Steps to Build Your First Workflow

Clarify the "Trigger → Action → Result".
Start with the simplest version (just two or three steps).
Test: Run it with fake data to ensure there are no issues.
Add AI judgment: Insert AI steps when necessary.
Monitor after launch: Regularly check for errors.

TheAI Academy Summary and Review

Honestly, the first time you assemble a workflow and see it run automatically, you'll feel like you've gained a "free employee". But don't be greedy - complex processes are prone to errors and difficult to maintain, start with a simple, most painful process.

Not sure which one to choose? Non-engineering backgrounds can start with Zapier, while those who want to save costs and are tech-savvy can use n8n. Further reading: Handing Over Repetitive Tasks to AI.

In a nutshell: Workflows are like hiring an employee who won't get tired, but start with a simple process - complex ones are prone to errors and hard to maintain.

Sources

Official websites of each tool (Zapier, Make, n8n).