Healthcare, hardware, education and field automation — four divisions and a lab, all building products we use ourselves before we ship them.
A tool becomes a product only after it gets good enough for our own daily use. Four divisions and a lab, each solving its own problem.
Self PT · AI Health Coach — gathers scattered health records into one line: what to do today.
View detailsAquaPad — a smart coaster that logs your water intake automatically.
View detailsTori, the AI Tutor — learns at the child's pace and trains the habit of verifying what AI says.
View detailsField-OS — a voice assistant that turns calls and site notes into draft work logs.
View detailsWeekly Happiness and other experiments — shipped light, improved by real reactions.
View detailsLog workouts in the free Self PT app; the KakaoTalk AI coach reads your watch, InBody and meal photos together. For lifestyle coaching, not diagnosis or treatment.
Data is scattered across watch, body-composition and meal apps — deciding what to actually do today stays hard.
Goal-based routines and set logging are free; connect your data and it becomes a one-line coaching message every morning.
We are recruiting beta members and reviewing data connection, morning coaching and weekly reports together.
A smart coaster that logs your water intake automatically. Keep using your own cup — just set it on the coaster and your daily intake shows up in the app.
Hydration apps rely on manual input, so the habit breaks within days. When logging stops, so does the care.
No special bottle, no buttons, no typing. Use the cup you already have; the device does the logging.
We brought in 3D-printing equipment and are building the first prototype. The build process will be shared as dev notes.
Elementary AI education that asks at the child's pace and trains the habit of verifying what AI says.
AI gives the answers. What children need is the ability to check whether those answers are right.
Dialog-based learning adjusted to grade and level, focused on checking and questioning rather than answers.
The master curriculum by grade band is designed; content for the first course (grades 3–4) is in production.
Turns calls and site notes into draft daily work logs, reducing what slips through in field operations. AI drafts; humans approve.
Instructions and changes travel by phone, daily reports pile up, and what slips through eventually costs money.
Call contents are matched to each site and auto-drafted into the daily work log. Draft information is kept separate from decisions that need human review.
Operating and validating on actual job sites. Public scope will be announced after review.
Experiments shipped light to see real reactions. When one gets good enough, it graduates into a division.
Link your Garmin or Galaxy Watch account once — activities, sleep and heart rate flow in automatically.
One when you eat, one when you measure body composition. Everything else is automatic.
Weight, muscle, sleep and diet are read together. No scaremongering over a single number.
Delivered to your messenger: exactly what to do today, nothing more.
The same principles apply to every JYLAB product. Health data is treated as sensitive information. No product is a medical device, and none provides diagnosis or treatment advice. Collected data is used only to deliver the features you asked for.
Only data you explicitly connect or upload. The Health Coach's Garmin integration follows the official Health API user-consent flow.
We do not sell data, use it for advertising, or share it with third parties. It is never used beyond the features you requested.
You can disconnect integrations at any time, and we delete your data promptly upon request. Details in our Privacy Policy.
JYLAB is a one-person product studio in South Korea solving everyday problems with AI and automation. We ship a product only after the tool we built for ourselves becomes good enough.
We run four divisions — healthcare, hardware, education and field automation — plus a lab. The AI Health Coach started the same way: one person's automation for runs, body composition and meals is becoming a coach for everyone with the same problem.
Principles
Automated logging, data-driven interpretation, one-line conclusions. Health data is treated as sensitive information with data-minimization and purpose-limitation principles.
Contact
Partnership & inquiries: jaeyoon1725@gmail.com