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TutorLM

Bringing the Future to Education.

AI-native SAT & ACT tutoring.

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Roster walkthrough01 / 06

Your whole roster, one screen

Six students, live: baseline, target, focus, mastery, and a signal for each.

Roster ledger · Spring cohortLive
StudentScore → targetMasterySignal

Mastery · last 7 practice sets

+6 this week
Word problems48%
Data analysis64%
Linear systems82%

Latest signal

SAT · 1290 → 1450

Reviewed linear systems. Strong on substitution, shaky on word problems. Ran out of time on the last set.Your note · after Tuesday’s session

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Mastery · last 7 practice sets

−12 over 3 sessions
Algebra foundations41%
Geometry58%
Reading: inference62%

Latest signal

SAT · 1080 → 1300

Missed two practice blocks this week. The gap is hiding behind low attempt volume, not low ability.Drift alert · generated overnight

See the full plan ↓

Mastery · last 7 practice sets

+4 this week
Advanced math84%
Grammar & usage88%
Timing71%

Latest signal

SAT · 1480 → 1550

Accuracy is steady across every domain. The final gain is pace: two timed modules per week until test day.Plan summary · approved Monday

See the full plan ↓

Mastery · last 7 practice sets

+3 this week
Data reasoning57%
English: rhetoric66%
Math: functions61%

Latest signal

ACT · 24 → 31

Consistent daily drills. Science passages still slow but accuracy is climbing steadily.Weekly digest · this morning

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Mastery · last 7 practice sets

−17 over 4 sessions
Command of evidence29%
Words in context35%
Linear equations44%

Latest signal

SAT · 960 → 1200

Three straight sets under 40%. This isn't a focus problem — the foundational reading skills need rebuilding before new test content lands.At-risk alert · flagged this morning

See the full plan ↓

Mastery · last 7 practice sets

+4 this week
Advanced functions73%
Science: conflicting views70%
Punctuation81%

Latest signal

ACT · 27 → 33

Strong two weeks. Ready to add timed mixed sets alongside the function drills.Plan draft · awaiting your approval

See the full plan ↓

Keep scrolling to continue the tour ↓

№ 01

What happens between your sessions

One note starts it. The software runs the rest, every student, every day. You just check the output.

  1. You drop in a note

    After a session, jot two lines about how it went. No forms, no tagging. It’s the only thing you do by hand in the whole loop.

    Session noteMaya R. · just now

    Reviewed linear systems. Strong on substitution, shaky on word problems. Ran out of time on the last set.

  2. It drafts the plan

    TutorLM reads your note against the student’s full history and drafts a week-by-week plan, ranked by score impact. Nothing reaches the student until you approve it.

    Study planDraft
    • highTranslating word problems
    • medData analysis & tables

    Week 1 · 10 translation drills daily, re-derive 3 missed aloud.

  3. Practice goes out

    Approved plans become practice in the student’s portal. Same question types, same timing, same difficulty as test day.

    Student portalSet 3 of 5

    A gym charges a $25 joining fee plus $18 per month. Which equation gives the total cost C for m months?

    1. AC = 18m + 25
    2. BC = 25m + 18
    3. CC = 43m

  4. Every attempt is logged

    Every answer is saved, right or wrong, with the skill it tested and how long it took. The whole loop runs on real attempts, not guesses.

    Attemptslogged live
    • ✕Word problems0:48
    • ✓Word problems0:34
    • ✓Linear systems0:21
    • ✕Data analysis1:05

  5. Mastery updates itself

    The score for each skill is simply the percent of practice questions the student got correct in each area.

    Masterythis week
    • Word problems48% +6
    • Data analysis64% +3
    • Linear systems82% +1

  6. You see who’s drifting

    Before your next session, TutorLM shows who fell behind, so prep time goes to whoever needs it most, not whoever asked last.

    Drift alertbefore next session
    NWNoah Williams1080 → 1300 · SATDrifting

    Accuracy on Algebra foundations fell 12% across the last three sessions.

№ 02

One student, in full

Maya Rodriguez · SAT 1290 → 1450 · the plan and practice you would review and send

Study plan

Draft · awaiting your approval

Close the word-problem gap before adding anything new. Two focused weeks, then one timed mixed set to make it stick.

Focus areas

  • highTranslating word problems: 48% across 22 attempts, the weakest area in Math.
  • medData analysis & tables: 64% and climbing, so keep the light review going.
  • lowLinear systems: 82% and steady. Keep it warm, don’t over-drill.

Weekly plan

  1. Week 1 · Word-problem setup
    • 10 translation drills daily
    • Re-derive 3 missed problems aloud
  2. Week 2 · Mixed timed sets
    • 2 timed Math modules
    • Log and review every careless error

1:30+

students one tutor can keep on track, up from the eight a calendar allows. No drop in results.

100%

of every mastery score is calculated purely from student practice, never from a model’s evaluation.

0

AI-written questions have ever been scored before a tutor reviewed them.

№ 03

Students’ data, kept from outside eyes.

Families trust us with a student’s name, scores, and progress. That is something to protect, not a dataset to mine. Here is how it stays safe.

As we launch, TutorLM is being built to operate within:

FERPA

COPPA

CCPA / CPRA

State laws

We will never sell student data, and we will never share it for advertising.

Walled off at the database

Every student’s records are isolated with row-level security. A tutor can only read their own students, enforced by the database itself.

The chatbot sees the minimum

The model gets only what a task needs, never a full file or identifying details. The provider keeps no copy and never trains on it.

No personal data in our logs

A student’s personal information never reaches our logs. We keep what the plan requires, nothing more.

A guardian signs off first

A guardian consents before any account goes live. It’s recorded and can be withdrawn at any time.

№ 04

Getting started is one session.

We start from official scores, then the software and the tutor take it from there.

  1. 01

    Bring in official scores

    The baseline comes from official College Board scores, so day one starts from real numbers, not a self-report.

  2. 02

    The tutor sets the direction

    Your tutor reviews that baseline and picks the first focus in a short kickoff session.

  3. 03

    The software runs between sessions

    From there, TutorLM builds the plan, sends practice, and tracks every attempt alongside the tutor.

Run your whole roster from one screen.

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TutorLM. One tutor, thirty students.