General Education Growth Tracking · STEM as the worked example · Teacher-led

Growth tracking for every student, starting with STEM.

A teacher-led diagnose → differentiate → assess → adapt loop. AI accelerates differentiation, practice, and misconception-spotting; teachers command every decision — standards-aligned by default, mastery tracked live.

Teacher-ledNo identifiable student data to AIStandards-alignedMastery tracked live
The teaching loop

Diagnose to adapt — the teacher leads every move.

Four moves on one loop. On each, AI accelerates the structure and the teacher decides — the AI never assigns or grades on its own. Click any move.

AI accelerates

Builds a quick, standards-aligned check and surfaces misconceptions and readiness.

An educator decides

The teacher reads where each learner actually is — and sets the plan from the truth, not the average.

OwnerTeacher · per unit
LeavesReadiness & misconception map
AI acceleratesAn educator decides
What we guarantee

Acceleration, without abdication.

Every promise paired with the mechanism behind it — so a teacher or a leader can interrogate it, not just read it.

01
A teacher commands every decisionAI drafts, scores, and suggests — it never assigns, finalizes, or grades on its own. The teacher decides what reaches a student.
02
AI never touches identifiable student dataResponses are de-identified before any AI call; the model sees the work and a standard, never a roster. Identifiable data stays in your systems.
03
Standards-aligned, not genericEvery item and explanation is mapped to your standards from the start — not a generic worksheet bolted on after.
04
Mastery tracked, not guessedA live, exportable mastery picture per standard — evidence a teacher can act on and a leader can review.
Get started

Start with one classroom. Prove it before you scale.

A focused pilot proves the gains in real classrooms — teachers in command, outcomes measured from day one.