AI-native learning, measured
AI learning programs with the evidence built in.
We run AI tutoring for schools and instrument every session, so institutions see measured outcomes, not vendor claims.
Fig. 01 · The GlowingStar constellation
The problem
AI tutoring is everywhere. The evidence is not.
Learning that is measured, not assumed.
Fig. 02 · The calibration gap
Generic AI study tools are everywhere. Whether students actually learn, or just feel like they did, goes unmeasured. In our own classroom study, AI-tutored practice matched quiz-only practice on scores, while students grew more confident on the answers they got wrong.
Test-score gain
Confidence when wrong
Illustrative proportions; full figures in the evidence section
What we do about it
- Tutoring enginemulti-agent plans, explanations, practice
- Classroom deploymentteacher-controlled, runs as coursework
- Pre/post assessmentwith per-question confidence ratings
- Full telemetryevery message and attempt, logged
Product
One platform, indexed.
Fig. 02a · Session replay (reconstructed from real telemetry)
Student
Why does ice float on water?
Event log
- 00:00.0session_started
- 00:00.4message_sent
Demo transcript: a student asks why ice floats on water. The tutor explains hydrogen bonding and density, then serves a quiz. The student picks a wrong answer with high confidence. The system logs every event and flags the confidently-wrong response, the calibration signal a test score alone would miss.
Evidence
We report the inconvenient results too.
0
students in our first school deployment
0
subjects, taught in Traditional Chinese
0
student–tutor conversations
0k
interaction events logged
From a within-student comparison of quiz-only vs. quiz-plus-AI tutoring, run as real coursework. That honesty is the product: institutions should demand evidence from any AI learning tool they adopt, including ours.
Fig. 03 · Field study, Hong Kong, N=323
Builders × Researchers
The people who ship the tutoring engine also design the studies and publish the caveats.
Our team’s backgrounds span Harvard, MIT, Stanford, and the University of Toronto, including work through the MIT Media Lab and the Harvard Innovation Labs.
“Every student is a glowing star. Our job is to help them shine.”
Our founding conviction
Fig. 04 · The workshop
Contact
Bring measured learning to your institution.
Onboarding a small number of partner schools and universities for upcoming terms.