AI can do a lot more than just answer questions or generate text. It can also be connected to other tools to handle repetitive tasks automatically.

The basic idea is pretty simple: instead of doing every step yourself, you can create a workflow where one action triggers the next. A document can trigger an AI tool, the AI can process the information, and another tool can deliver the result.

I wanted to try this idea myself and see what I could build with a simple project.

As a first example, I decided to automate document summarization. Instead of manually copying the content of a Google Doc into an AI tool and then sending the summary somewhere else, I wanted the whole process to happen automatically.

I built the workflow using Make.com and Google Gemini. It takes the content from a Google Doc, sends it to Gemini for summarization, and then sends the generated summary to my Gmail.

It's a simple example, but it shows the basic idea behind AI automation: connect different tools, let each one handle a specific step, and make the whole process run automatically.

What It Does

Here's how the workflow works. Whenever a new document is added to Google Docs, the workflow automatically gets its content and sends it to Google Gemini.

Gemini then generates a clear summary of the document, and the final summary is sent to my Gmail.

So the complete flow is:

Google Docs → Get Document Content → Google Gemini → Gmail

This saves the manual work of copying the document content, pasting it into an AI tool, and then sending or saving the result separately.

Tools I Used

For this project, I used a few simple tools:

• Make.com — to create and automate the workflow.

• Google Docs — to provide the document content.

• Google Gemini — to analyze the document and generate the summary.

• Gmail — to receive the final summary.

I chose these tools because they made it possible to connect the whole process without having to manually move the document content from one place to another.

The Workflow

The workflow is made up of four main steps:

Google Docs (Watch Documents) → Google Docs (Get Document Content) → Google Gemini → Gmail

The first two steps handle the document, Gemini generates the summary, and Gmail sends the final result.

How the Workflow Works

1. Google Docs — Watch Documents

The workflow starts by watching for new documents in Google Docs. When a new document is detected, the automation is triggered.

2. Google Docs — Get Document Content

Once the document is detected, the workflow gets the actual content from the Google Doc. This gives the next step the text that needs to be summarized.

3. Google Gemini

The document content is then sent to Google Gemini. Gemini analyzes the text and generates a clear and structured summary.

4. Gmail

Finally, the generated summary is sent to Gmail. This way, I can receive the result without having to manually copy the summary from the workflow.

Final Result

After the workflow runs, I receive the generated summary directly in Gmail.

The main goal was to make the process simple and automatic. Instead of manually taking the content from a document and asking an AI tool to summarize it, the workflow handles the whole process for me.

It is a small project, but it was a good way for me to learn how different tools can be connected to create a useful AI automation.

GitHub Repository

If you want to take a look at the project files and workflow setup, you can find them on GitHub:

View the project on GitHub

Build Your Own Workflow

If you want to try building a similar automation, Make.com is a good place to start. You can connect different tools together and create useful workflows without having to build the whole integration yourself.

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