Can AI Catch Negative Customer Emails? | Make.com Tutorial for Sentiment Analysis

Описание: Drowning in support emails and reacting too late to unhappy customers? In this tutorial, I show entrepreneurs, marketers, and small teams how to auto-flag negative emails using AI and push them straight into a dedicated Slack channel—so you can triage the hottest issues fast, protect churn, and wow customers with response time.

You’ll learn:

How to watch a Gmail inbox in Make.com
Run AI sentiment analysis (negative/neutral/positive)
Filter only the negatives and post rich alerts to Slack (with sender + explanation)

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Timestamps:

00:00 Intro: why this automation matters
00:16 Workflow overview (Gmail → Sentiment → Slack)
00:34 Best use cases (support triage, priority channel)
01:00 Core logic recap
01:26 Why Make.com + quick platform tour
01:44 Demo #1 setup (sending an “angry” email)
02:54 Demo result: Slack alert appears
03:15 How a team would use the channel
04:00 Build it step-by-step
04:03 Scenarios = automations in Make
05:06 Paid vs free, tokens & models
05:23 Trigger: Gmail “Watch emails” + account connect
06:35 Folders, filters, mark-as-read options
07:45 Run window & starting point
07:55 Step 2: Make AI “Analyze sentiment” (model choice)
09:28 Map email text + return explanation
10:11 Step 3: Slack message action
11:07 Add filter: sentiment is negative
12:51 Compose alert: sentiment, description, sender
14:45 Data mapping explained
15:21 Pro tip: test one module at a time
15:54 Demo #2: second test email
17:03 Slack notification confirmed
17:49 Wrap-up & next steps
17:59 Alternatives (OpenAI, Gemini, Perplexity)
18:28 Upcoming beginner Make.com tutorial

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