You can’t automate judgment before you’ve automated rules.
Start with flows. Then layer intelligence.
In this post:
Automation vs. Agent (what's the difference)
Step-by-step: Build your first automation with Make (0 cost)
What to Automate next
Let’s clear the basics.
A rule-based workflow.
Runs when conditions are met. No reasoning, just execution.
Example: New email with attachment → Upload to Drive. That’s automation.
A system powered by a language model.
Can reason, decide, and act based on goals.
Example: If an email has an attachment, decide: Is it a contract (→ legal), invoice (→ extract total) or report (→ summarize). That’s an agent.
Tools like Make and Zapier are great for automations.
Agents need LLMs like GPT-4, Claude or Gemini.
Start with automation first.
We’ll log every new Google Doc into a Google Sheet.
You’ll need:
Gmail account
Google Drive folder (where to create new documents)
Google Sheet (you can use this template)
Go to Make → Click “Create a new scenario”
Click the "+" icon
Search "Google Docs" → Choose “Watch Documents”
Connect your Google account
Pick a folder (e.g. “AI’m In”) in Folder ID section
Add Google Sheets module → Choose “List Sheets”
Select your spreadsheet (e.g. AI’m In template)
File Name → Name
Date → Created Time
Link → Web View Link
Click “Run once”
Create a new Doc → Check the sheet → Row added
You ran your first automation. Well done 🙌
Click “ON” → Now it runs on schedule.
Every new doc = new row.
Build 3–5 flows like this:
Form to Notion
Tweet to Airtable
New calendar event → Slack reminder
This helps you understand structure, limits and edge cases.
No corporate account? No problem. Set up Make with a personal Google account, done in 5 minutes. ⏱️
Transform simple automation into a smart AI agent that:
Auto-classifies files
Instantly summarizes contracts
Precisely extracts invoice data
Dynamically routes workflows
Want this in your inbox? The next issue’s coming soon
Nina
Tap the heart ❤️ if this got you excited to build something.

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