Item accuracy
At least 90% in controlled adaptive practice. Necessary evidence, but never sufficient by itself.
How it works
The loop below runs every session. It is deliberately unglamorous: the value is in the diagnosis and the verification, not in the explaining.
The loop
Before teaching anything, probe the prerequisites. If a prerequisite is shaky, the session drops down the graph instead of pushing forward. This is the step ordinary tutoring skips and school cannot afford.
An authored explanation is selected for the learner’s reading level and delivered conversationally. The tutor is grounded in that authored material and is instructed to say when it does not know, rather than improvising facts.
A best-in-class leased engine supplies adaptive daily items in Phase 1. Freedom ingests that accuracy signal, requires shown work, and owns every layer that determines whether the concept truly counts.
A rubric grades the reasoning, not only the result. A correct answer arrived at by a broken method is recorded as not mastered, and the specific misconception is logged by name.
Mastery is updated, spaced retrieval is scheduled, and the next node is chosen. Three stuck sessions on the same concept escalates to the parent instead of grinding.
Mastery
If mastery is fake, everything built on top of it is fake — the daily plan, the transcript, the reassurance you feel. So mastery is expensive to claim on purpose.
At least 90% in controlled adaptive practice. Necessary evidence, but never sufficient by itself.
Correct again days later, cold, without a warm-up. Recall on the same day proves nothing.
A derivation, an explanation, a working artifact — something a skeptical adult can read.
Explain the reasoning out loud and answer live follow-up questions.
Streak counters and completion percentages are deliberately absent. Both are trivially gamed and neither predicts whether a child will still know something in six months.
Independent proof
The graph proves daily understanding. Nationally normed external tests provide a separate view of achievement and growth, so we can detect blind spots and eventually test whether learners are moving faster than comparable peers.
Baseline in the first 14 days; sparse growth checkpoints; annual state-appropriate assessment; PSAT/SAT or ACT when useful. We report achievement and growth separately and never turn one child into a claim about every public school.
See the parent dashboardThe obvious objection
Any system that assumes children will not use AI to shortcut the work is designed for a world that no longer exists. This one assumes they will try.
Credit is for reasoning, not answers
There is nothing to gain by pasting in an answer, because answers are not what is scored.
Live follow-ups
Oral defense generates questions from what the child just said. Borrowed reasoning falls apart in one follow-up.
Some assessment is closed-tool
Observed, offline, periodically. Enough to keep the mastery numbers honest.
Flag, do not accuse
Suspicious patterns route to a parent for a conversation, never to an automatic punishment.
The message to the child is straightforward rather than punitive: using a model to skip understanding is stealing from yourself, and this system is built so that shortcut does not produce credit.
Guardrails
Explanations, examples, and problems are written and versioned by a human, and the tutor retrieves from them. Free-associating facts at a child is the failure mode we are most careful about.
There is no private channel between a model and a child. Younger learners get a bounded subject domain rather than open-ended chat.
Ethics, meaning, conflict, and anything contested belongs to parents and mentors. The software's job is skills and knowledge, and it should be honest about that boundary.
A child's learning history lives in our own database, is never committed to source control, and is not fed to third-party analytics.