About MSSJ
한국어 →Not a company that knows AI.
A company that finishes with it.
We started in a small office in Yeongyang, a rural county in Korea. Deciding what to do and checking the result — those two ends stay in human hands. Everything repetitive in between is handed to AI agents. That is how we run education, consulting, and software development as one line, not a lecture that ends when the slides do.
Chapter 1 · The problem
Most AI training stops at “now you know.”
Founder Chihoon Shin holds a Ph.D. in computer science and spent ten years running national R&D programs at Korea’s Electronics and Telecommunications Research Institute (ETRI), with visiting-researcher stints at the University of Tokyo and Newcastle University.
He left the lab and set up in Yeongyang — a shrinking rural county in North Gyeongsang Province. While city AI courses stopped at teaching people how to use a tool, what the field actually needed wasn’t knowing — it was finishing.
That belief is baked into the name of our own methodology. MSSJ’s education engine, SimThink, reads as 深Think — deep thinking.
“AI’s essence isn’t speed. It’s depth.
Clear the noise, and think deeply.”
Chapter 2 · How we work
People judge. Agents execute.
This isn’t a pitch line — it’s how MSSJ runs day to day. Deciding what needs doing, and verifying what came back: those two ends stay firmly in human hands. Everything that repeats in between — gathering, analyzing, drafting, executing — goes to an agent.
Anything only a person can do — payments, signatures, contracts, anything touching personal data — a person still does, always. Which means you don’t need to become an AI expert. You hire the agent the way you’d buy an appliance: say what you need.
Published, not hidden
How this principle is enforced — which permission tier, which audit trail — isn’t kept behind closed doors.
See our operating trust pageChapter 3 · So far
We transplant what Yeongyang already proved.
In July 2026, 25 civil servants in Yeongyang County spent four days building AI agents to take over pieces of their own jobs. Those who completed the hands-on track scored 93% on average. The working web apps they shipped grew from 7 in the first cohort to 13 in the next.
That same summer, ten elementary school kids met every Sunday for four weeks and made games by talking. By the end, 116 works were published, played and viewed by each other 1,415 times — we kept that story separately. Read the SimThink Edu Story →
Outside the classroom, the same grammar is becoming products. A multilingual (5-language) AI health-consultation assistant, “Myeongsim,” is live at a local pharmacy. “Sabok-sabok,” an AI study companion for Korea’s senior social-worker licensing exam, is in beta. “Nongpani,” an AI tool for farmers selling produce direct, has finished design and awaits its next pilot. See the full project list →
We believe what a small county like Yeongyang can verify can be replanted anywhere — any region, any organization.
Chapter 4 · What’s next
The parts are built. Now we assemble.
Every classroom, every project has left behind a tool we built and proved on the spot — our own hands-on training platform, a content pipeline, an operating ledger. The current stage is connecting them: taking scattered parts and fusing them into one line, so one team can carry a job from plan to finished result without handing it off.
The goal hasn’t changed — you stay exactly as you are, and just receive the result.
MSSJ doesn’t sell lectures. People hold judgment, agents hold execution — and we transplant that same grammar into your organization.
Where these numbers come from
Every figure above comes from MSSJ’s own measured records of programs we ran ourselves. The full detail is published on each outcome page.
Next step
Myeongseong Simjae (MSSJ) · Yeongyang, North Gyeongsang, Korea · Founder Chihoon Shin, Ph.D. — End-to-End AI education, consulting, and development.