Twenty Years In, and Ready to Get Addicted to Learning

IT program manager, AI Edge for Working Professionals

He has spent more than 20 years in IT as a program manager. He knows how projects run and how teams work. And he describes himself, plainly, as "old school".

That is exactly what makes his goal so appealing. He did not come to Arthi just to pick up a tool. He came to change how he learns. He wanted to become "addicted to learning".

He also knew how he wanted to begin. Rather than commit to a long program straight away, he chose to start with the four-week version of AI Edge for Working Professionals, Arthi's 1:1 mentorship. A shorter first step, with room to go further.

The first session went straight to the practical, and there was a real-world wrinkle to solve first. Office restrictions meant his work laptop was off limits, so they installed Codex on his personal laptop instead. It is exactly the kind of small, practical problem a 1:1 session can sort out on the spot, so that learning can start right away instead of stalling on setup.

From there, they built up his setup piece by piece. They added plugins, so the AI could work with other tools. They set up scheduled tasks, so work can run on its own at set times. And they created skills, reusable instructions that let him hand off a routine once and call on it whenever he needs it.

For someone who calls himself old school, that is a lot of new ground in one sitting. His reaction was warm and immediate. "Very helpful. Thank you."

As the session went on, his enthusiasm kept building, the words tumbling out faster than he could finish them.

"So much. I mean, it was wonderful. I have, I'm seeing it really very helpful and"

By the end, it felt less like a lesson and more like time well spent. "It's wonderful catching up."

His story is only at the beginning, and that is the point of sharing it. Not every learner story starts with a big problem and ends with a finished app. Some start with an experienced professional deciding that two decades in the field are a reason to keep learning, not a reason to stop.

What comes next is up to him. He now has Codex running, plugins connected, his first scheduled tasks and his first skills. The tools are in place. The habit he came for, the kind of learning that keeps pulling you back, now has something to grow on.

For anyone who has been in their field a long time and wonders whether AI is for them, his first step is a good model. Start small. Start practical. Get one thing working, then the next.

Want to build something like this? Explore Arthi's 1:1 programs.

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