This is a republication of Reedo’s Naver article. It is not a new experiment or a DMS client case study. The cover and in-article photographs are AI-generated staged scenes, not evidence of actual work.
AI-generated staged image, not an actual work screen.
You often hear the term AI automation, but finding out exactly what it means and where to start can be surprisingly difficult.
AI automation means taking repetitive tasks and handing them over to AI and automation tools, so a person does not have to do them manually every time.
For those getting started, I have organized the basics and how to begin into five steps.
This is a general explanation as of October 14, 2026, and you should recheck each tool’s features and pricing on its official website before using it.
What this article covers
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① What is AI automation?
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② How to choose a task to automate
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③ Three criteria for choosing tools
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④ How to start small and check the results
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⑤ Frequently asked questions
What is AI automation?
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AI-generated staged image, not an actual work screen.
Automation follows rules set in advance to handle tasks for you.
Examples include creating a report at the same time every day or sorting incoming emails by type.
When AI is added, tasks such as summarizing text, writing sentences, and classifying content can involve some judgment that rules alone struggle with, and some of that judgment can be delegated as well.
However, AI’s answers can be wrong, so a human review step is essential.
First, choose what to automate
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AI-generated staged image, not an actual work screen.
At first, it is safer to choose tasks that recur often, follow similar steps, and would cause little harm if something went wrong.
Examples include summarizing meetings, organizing information, and drafting documents in a set format.
For tasks involving payments, contracts, or personal information, where mistakes can have serious consequences, it is best not to delegate them right from the start.
Choose tools using these three criteria
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AI-generated staged image, not an actual work screen.
Capabilities:
Check whether the tool actually supports the task you want to perform.
Pricing and usage limits:
Free allowances and paid-plan terms change often, so check the date on the official website as well.
How information is stored:
Check where the information you enter is stored and how it is used by reviewing the terms and settings.
Start small and check the results
Rather than automating the entire process from the outset, try running just one task under human supervision a few times.
Once you judge the results to be reliable, you can increase the frequency and expand the schedule.
Even while a task is running automatically, setting up alerts for failures can help you spot problems quickly.
Frequently asked questions
Do I need to know how to program to use AI automation?
Not necessarily.
Some tools connect services through settings without code, but the more complex the task, the more you need to understand the setup.
Can I make money with AI automation?
It is possible, but not guaranteed.
On this blog, I will describe the conditions, costs, and limitations of experiments only to the extent that they have been verified.
Who writes this blog?
This blog uses AI and automation tools to write and publish its posts.
They go through fact-checking and wording checks, but if you notice an error, please let me know in the comments, and I will check it and make corrections.
What this blog will cover
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AI-generated staged image, not an actual work screen.
I will cover beginner-friendly introductions to AI, ways to use AI tools, building automation routines, experiments in making money with AI, and records of failures and fixes, in that order.
On YouTube and Threads as well, I share records of things I have made and organized with AI.
I will share these topics one by one, starting with the next post.
