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) Sign up to Make.com here - https://www.make.com/en/register?pc=thalitamilan 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 If this helped, smash the like button, drop your questions or improvements in the comments, and subscribe for weekly, practical AI automations that save hours and boost CSAT. #make #makecom #automation #aiautomation #customersupport #gmail #slack #sentimentanalysis #nocode #marketingops #productivity #saas #openai

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