How to Create Your First AI Automation: A Step-by-Step Tutorial

Let’s be honest for a second.

You started your business to have freedom. But lately, it feels like you spend most of your day answering the same emails, sending the same invoices, or copying data from one place to another.

It’s boring work. And it’s stealing time from the work that actually makes you money.

I’ve been there. Over the last six years, I’ve tested a lot of tools to try and get these hours back. Most of them were complicated and expensive. But recently, something changed.

AI has gotten good. Not just at writing blog posts or creating images, but at doing the small, dull jobs we hate.

In this post, I’m going to show you how to build your very first AI automation. It’s easier than you think. You don’t need to know how to code. You just need to follow a few simple steps.

Why Bother Automating?

I want you to think about one task you did yesterday that felt like a robot could have done it. Maybe you sorted through emails. Maybe you updated a spreadsheet.

If you can describe it with simple steps, a machine can probably do it.

The goal here isn’t to replace your job. It’s to remove the friction. When the small stuff is handled automatically, you have the mental energy to focus on strategy, creating content, or actually talking to customers.

What You’ll Need to Start

Before we jump into the “how,” let’s look at the simple toolkit you need. You probably have most of this already.

1. A Clear Task: You need a specific job you want to automate. We’ll pick one together.
2. An AI Tool: For this guide, I’ll use ChatGPT (the free version is fine to start) because most people already have an account.
3. A Connector Tool: This is the glue. We’ll use a free tool called Make.com (formerly Integromat) or Zapier. Both have free plans. They let different apps talk to each other.

That’s it. No scary software. No command line.

Step 1: Find Your “Boring” Task (The 5-Minute Rule)

The biggest mistake people make is trying to automate their whole business on day one. Don’t do that. It gets messy fast.

Instead, look for something tiny that takes you less than five minutes but happens every single day.

For this tutorial, let’s use a very common scenario: Saving important emails.

Let’s say you get client inquiries via email. Right now, you probably read the email, copy their name and request, and paste it into a Google Sheet or a to-do list. It’s a small task, but over a year, it adds up to hours of copying and pasting.

We are going to build an automation that does this:
When I get a new email in Gmail → Have AI read it → Write a summary → Save that summary to a Google Sheet.

Step 2: Mapping It Out Like a Recipe

Before we touch any software, let’s write down the steps like a cooking recipe.

• Trigger: A new email arrives in a specific folder (or with a specific label).
• Action 1: Take the body of that email.
• Action 2: Send that text to ChatGPT with a simple instruction: “Summarize this email in one sentence.”
• Action 3: Take that summary and put it into the next empty row in a Google Sheet.

See? It’s just a sequence. The tools do the heavy lifting.

Step 3: Building It in Make.com (The Fun Part)

I’m going to walk you through the logic using Make.com because their visual interface is really easy to follow. If you prefer Zapier, the steps are almost identical.

1. Sign up for Make: Go to Make.com and create a free account.
2. Create a new scenario: Click the “Create a new scenario” button. You’ll see a big, blank canvas. Don’t be scared of the blank space!
3. Add the first module (Gmail):
   • Click on the canvas and search for “Gmail.”
   • Choose “Watch Emails” or “Watch New Emails.”
   • Click on the module to configure it. You’ll need to connect your Gmail account (just click “Add” and sign in).
   • You can set it to watch a specific label, like “Client.” This way, only important emails get processed, not newsletters.
4. Add the second module (AI – OpenAI):
   • Click on the circle to the right of the Gmail module and search for “OpenAI” (ChatGPT).
   • Choose “Create a Completion.”
   • Connect your OpenAI account (you’ll need an API key from the OpenAI website, but the setup guide in Make walks you through it).
   • In the “Prompt” box, we tell it what to do. Type something like:”Summarize the following email in one short sentence, focusing on what the client needs: {{Body}}”
   • The {{Body}} part is a piece of data from your email. Make lets you pick this from a menu, so the AI knows what text to read.
5. Add the third module (Google Sheets):
   • Click the circle again and search for “Google Sheets.”
   • Choose “Add a Row.”
   • Connect your Google account and pick the exact spreadsheet you want to use.
   • Map the fields. Tell it:
     • In Column A, put the email subject (from the Gmail module).
     • In Column B, put the summary (from the OpenAI module).
     • In Column C, put the date (from the Gmail module).

Step 4: Testing and Turning It On

This is the best part. You don’t have to guess if it works.

At the bottom of the Make.com screen, there is a “Run once” button. Click it.

The system will go and check your Gmail. If it finds a new email, it will run the whole sequence right in front of your eyes. You’ll see the modules light up green if they work.

Check your Google Sheet. Did the summary appear? If yes, congratulations. You just built an AI worker.

If it didn’t work, no problem. Click on the red module and see what the error says. Usually, it’s something simple, like the Gmail label name was typed wrong.

Once you’re happy with it, flip the switch at the bottom to “On.” Now it runs automatically every 15 minutes (or whatever schedule you set).

Realistic Expectations: What It Can Actually Do

This simple setup changes everything. Now, every time a client email comes in, a summary is waiting for you in a spreadsheet. You can look at the sheet and instantly see what everyone needs without opening your inbox.

Once you feel comfortable with that, you can expand it. You could:

• Send the summary to a Slack channel so your team sees it.
• Use the summary to automatically create a task in Asana or Trello.
• Have the AI detect if the email is angry or happy and flag it for priority.

Frequently Asked Questions

Do I need to know how to code?

Not at all. All these tools use drag-and-drop interfaces. If you can use a spreadsheet, you can use these tools.

Is it expensive?

Most “connector” tools have a generous free plan that lets you run a few hundred automations a month. OpenAI (ChatGPT) costs pennies per request. You can start for free and only pay when you scale up.

Is it safe to connect my accounts?

Yes, when using reputable platforms like Make, Zapier, and official APIs from Google and OpenAI, they use secure authentication tokens. They don’t store your password.

However, always be mindful of what data you are sending—don’t automate sensitive client financial data until you understand the security settings better.

What Will You Do With Your Time?

The beauty of this first automation isn’t just the time you save on copying emails. It’s the proof that you can do this.

Once you see a robot filling in your spreadsheet correctly, you start looking at everything differently. You realize that the “dull stuff” doesn’t have to be dull anymore. You can build a team of digital helpers for pennies a day.

So, here is my question for you: If you got those two or three boring hours back every week, what would you actually work on?

Think about it. Then go build that first automation.