I'm Miro — Myron Mekhael if you're reading the receipt. I live in New York City. For my day job I do infrastructure, server administration and network engineering at a cloud VPS hosting company, which means that when a rack, a router or a customer's server misbehaves at 3 a.m., I'm one of the people who gets paged. I'm also still a student taking college courses, so I know what it's like to learn something new with almost no spare time.
ATLAS Academy is the other thing I do. It's not a studio or a team. It's me, the same tools I use every day, and an automated pipeline I designed that turns a lesson script into a finished video.
Why I started teaching this
A few years ago I started using AI and automation to run my side projects, because I didn't have the hours to run them by hand. Today those projects are:
- an eBay business that buys, refurbishes and resells IT and networking hardware;
- a flight-price tracker that watches fares and tells people when to buy;
- a Matrix-based attendance and standup bot that a small team uses every morning;
- a network watchdog that tells me when something at home or at work is about to go wrong;
- and ATLAS itself — a personal operations agent that watches all of the above, fixes what it safely can, and sends me a report instead of a problem.
None of that would be possible without automation. But almost everything I learned about automation, I learned the hard way: from workflows that emailed the wrong customer, agents that ran up a bill overnight, and "quick" integrations that broke on the first real input. The lessons on this site and on the channel are the notes I kept while fixing those mistakes.
What I believe about AI, in one paragraph
AI should do the boring, repeatable work, and a human should approve anything that leaves the building. Every workflow I teach pauses before it sends, pays, deletes or publishes. That's not caution for its own sake — it's how I run my own businesses, and it's the difference between a tool that saves you time and a tool that costs you a customer.
How the lessons are made
Every lesson starts with a result on screen, not a logo: the finished thing first, then a one-second brand sting. The scripts are written from the official documentation of the tools they teach. The pipeline renders each lesson, automatic checks have to pass before it is posted, and then it goes up. Before a script is written, the pipeline also studies how the most-watched human-made tutorials on the same topic explain it, for structure only, never copying a word. Then we build it together, step by step. Where a step commonly goes wrong, like a credential with a trailing space, the lesson names the error and the fix.
The lessons are narrated by an AI voice, and every video's description says so. I set it to speak slower than its normal pace on purpose, with a silent pause when it's your turn to try a step, so you can look at your own screen. If a lesson feels unhurried, that's the design.
What's free and what's paid
The videos are free and will stay free. The courses and kits on this site are the parts that don't fit in a video: the full workflow files, the checklists, the printable guides, the written rules I hold my own agent to. Each one says exactly what you need (accounts, software, cost) before you buy, and there's a 14-day guarantee if it isn't for you.
I don't promise income. I don't sell "secrets". If a product page ever reads like a pitch, email me and I'll fix the wording.
How to reach me
mirotech94@gmail.com. I read everything. If you're stuck on a lesson, tell me the step number and what you see on screen and support replies within two business days — and if the question is a good one, it becomes the next video.