About TalentOS
We started TalentOS to unlock what people can do with AI.
AI is just a tool. Like any tool, it only helps if you know how to use it. But the way most people are taught is slow, abstract, and out of date. So we took a different path. Real projects, personal coaching, and honest feedback, so people build the skill and the confidence to put AI to work. That is the agency we want to give every person, and every team.
Coach every employee
Each person gets an AI coach that helps them get real value from AI, on the work they already do.
Measure real capability
See who is actually using AI well, not who finished a course or passed a quiz.
Give leaders visibility
A clear view of where adoption is working, where it is not, and where to help next.
Origin
The story starts in two places.
In Myanmar, James spent years building a place for people to learn, make things, and be taken seriously. He kept seeing the same thing. People did not lack talent or drive. They lacked a practical way to learn, someone to keep them accountable, and a way to keep up with tools that change every month.
In Michigan, Olivia was working on the same problem from another angle. She grew up in a rural town, started Technique to help people find their footing in their careers, and later worked at the Michigan SBDC. Her whole career came down to one thing: helping real people get unstuck.
Different places, same belief. What a person can do is bigger than the system around them lets them show. AI raised the stakes for everyone. The people who learn to use it well will pull ahead, and most companies have no idea who that is or how to help.
James
James saw that people don't lack ability. They lack a way to learn.
Build Myanmar started as a place for builders to gather, learn, and be taken seriously. It grew into media, spaces, programs, and a community for people who wanted a real path into the future economy.
450K+ followers, 60M+ views, 5,000 builders
Olivia
Olivia spent her career helping people get unstuck.
From a rural Michigan town, to career advising at Technique, to the Michigan SBDC, Olivia kept asking one question: how do people build the confidence and skill to use new tools in their real work?
Career advising to AI capability
The old way of learning was built for a world that stopped changing.
Courses, certificates, and one-off workshops assume the skill you need today is the skill you will need next year. AI broke that assumption. The only way to keep up is to learn on real work, with a coach who adjusts as fast as the tools do.
What guides us
How we actually help people.
Real projects, not lectures
People learn AI by using it on real work, not by watching videos about it. Every step is a real task with a real outcome.
Personal, and accountable
A coach meets each person where they are, sets the next task, and follows up. No one drifts. No one gets left behind.
Always current
The tools change every month. The coaching keeps up, so what people learn is what actually works right now.
Founders
The company is personal for both of us.
James Win
Co-Founder & CEO
James thinks in systems: communities, media, spaces, software, and the institutions people need around them. Build Myanmar taught him that ability is everywhere. What is missing is a practical way to learn and someone to keep you moving.
Olivia Habart
Co-Founder & CPO
Olivia grew up in rural Michigan and has spent her career helping people get ahead, through career advising at Technique and her work at the Michigan SBDC. She believes people adopt new tools when the help feels personal, practical, and close to their real work.
What we are building
We are building the operating system for AI adoption.
Most companies already know AI matters. The harder question is quieter: who on the team can actually use it well when the work gets messy?
A course library cannot answer that. A workshop cannot either. The answer shows up in the work. TalentOS gives every employee a coach, teaches them on real tasks, measures how they actually use AI, and shows leaders where it is working.
For teams adopting AI
See the work. Then decide what to do next.
Give every employee a coach, watch real capability grow, and know exactly where to help next.