AnTeraju: say the goal, not the menu
An AI-native learning environment Antrex is co-designing with QynQue: state a learning intention and many minds plan, teach and verify it — with a mastery gate that never paints a topic green it hasn't earned, bilingual by default, teacher-authored, built to reach the last classroom.
Education software you operate is the problem.
Fifty years of computing made you translate intention into operations — open the app, find the file, click the button. Classrooms repeat it. AnTeraju is built the way QynQue built a new kind of computer: you say what you want to become, the system decides how — and only ever reports what you genuinely know.
“An A in Add Maths by March — 40 minutes a night.”
interface preview · design reference — AnTeraju is in formation with QynQue, so these are rendered mockups, not captures of a shipped app
How a lesson starts
Three verbs, in order. None of them is “log in and browse.”
State the intention
“An A in Add Maths by March — 40 minutes a night.” No course catalogue to browse, no app to find, no menu to learn. The way to open a lesson is to say what you want out of school.
The minds plan and teach
One intelligence is not one tutor. A strategist reads your results and finds the weakest topics behind the goal; subject tutors build and deliver the path; a companion sits with you each night and marks what you finished while you were busy living.
Mastery is proven, not claimed
Every topic is a live status: grey until demonstrated, amber once you are close, green only after you actually produce the answer. Parents, teachers and future employers consume that state — never an attendance percentage.
Three seats at the same table
A student, a teacher and a parent — the platform has to be honest to all three at once.
For students
A personal tutor that speaks Bahasa, English, Mandarin or Tamil, keeps your context across every subject, works on your family device — and never hands you an answer you didn't earn. The syllabus is the spine; the mastery map is the revision plan.
For teachers
The author, not the replaced. Build a helper for your class in Qyn Studio without code — your examples, your language, your method — publish it to QueHub, watch real students prove it works, and earn every time a classroom installs it.
For parents & schools
One honest view per child: what is verified, what is shaky, what is untouched. No inflated scores, no engagement dashboards. Schools see which helper actually raised mastery across their students — evidence-first, not brochure-first.
Six surfaces, one mastery ledger
murid · guru · rumah · sekolah · yayasan · bakat — every seat reads and writes the same append-only record of what has genuinely been demonstrated.
murid — the learner
State a goal, get a path. One tutor holds context across every subject, works in the language you think in, and only ever reports what you genuinely demonstrated.
guru — the teacher
Author a helper in Qyn Studio without code, publish to QueHub, and see which of your students actually moved — topic by topic, not grade by grade.
rumah — the parent
A single honest nightly view: what is earned, what is close, what is untouched. No leaderboard, no streak theatre — the state of your child's understanding.
sekolah — the school
Dashboard of real mastery across cohorts, so procurement is evidence-first: which helper raised green-star counts for students like yours.
yayasan — the funder
Foundations and ministries see reach and mastery movement against spend — the honest denominator that programme reports usually hide.
bakat — the pipeline
A verifiable, tamper-evident record of what a young person can actually do — exportable to employers and colleges, built on demonstrated mastery, not attendance.
The mastery gate — proof you can trust, because it was earned
Most edtech reports the easiest thing to fake: time on task. AnTeraju reports the hardest thing to claim: that a learner produced the answer, unaided. Each green star is a signed demonstration on an append-only ledger — the same record a parent, a school, or a future employer reads.
- Green is earned. A topic turns green only after the learner produces the answer. The system never paints mastery it hasn't witnessed.
- No surveillance. Proof is a signed state on the ledger, not camera-on proctoring. We verify understanding, not compliance.
- No AI theatre. We won't dress a chatbot as a tutor. Real models do the planning, teaching and marking — and the honest ones don't hand over the answer.
- Intention over operation. You say what you want to become; the system decides how. Not another app to open, find and click.
mastery-ledger · append-only · sample ──────────────────────────────────── topic quadratic-equations status grey → amber (attempt 03, partial) status amber → GREEN (produced correct set, no hints) evidence proof: worked-solution #4821 (signed) topic probability-trees status grey (untouched) ──────────────────────────────────── a green is written only by a demonstration, never by a timer, a click, or a claim.
These describe AnTeraju's architecture as designed with QynQue — not adoption metrics. AnTeraju is in formation and running a small private beta; no user numbers are claimed here.
Questions, answered
An AI-native learning environment Antrex is co-designing with QynQue. You state a learning intention; many minds — a strategist, subject tutors and a nightly companion — plan, teach and verify it. Everything runs on one mastery ledger where a topic is green only when you've actually produced the answer.
Say the goal. Chart the constellation.
AnTeraju is in formation — designed jointly with QynQue and running as a private beta with a small number of classrooms. Request a pilot for your school, or talk to us about authoring a helper for your students.