Education
Batch-scan class submissions and get evidence, not just percentages — the exact sentences that raised flags, confidence ranges, and honest false-positive risk. Meanwhile, students build authorship records that prove their work. Fair on both sides of the desk.
Batch detection
Scan 30 submissions at once
Class dashboards surface the few submissions that need review — with evidence attached.
Evidence reports
Scores you can defend
Every flag shows the sentences behind it, a confidence range, and false-positive risk.
Classroom sync
One-click Google Classroom import
Pull classes, rosters, and assignments automatically with OAuth.
Workflow
Teacher logs in with Google
Imports classes + rosters
Creates an assignment in BareGPT (syncs to Classroom)
Students submit through Classroom
Submissions are batch-scanned with evidence per student
Teacher reviews flagged submissions — and students can share authorship records
Class overview
See every submission at a glance.
Ava G.
AI signal score
18
Human signals
Marco T.
AI signal score
81
Review evidence
Priya S.
AI signal score
52
Ambiguous — low confidence
Jordan K.
AI signal score
--
Missing
Only flagged submissions need your attention — each comes with its evidence attached.
Assignment view
Track completion and signals.
Completion
24/28
Flagged for review
3
Ambiguous
2
With authorship records
19
Students with authorship records can resolve questions in minutes, not meetings.
Submission deep dive
Evidence you can act on.
Marco T. — Essay #2 · Score 81
Confidence: high · False-positive risk: low
Signals: very uniform sentence lengths, repeated template transitions, low vocabulary variety.
Evidence highlights
Fair by design
Confidence ranges and false-positive risk on every score — ambiguous results are labeled, not forced into a verdict.
Two-sided evidence
Teachers get detection evidence; students get authorship records. Disputes end with facts, not standoffs.
Time savers
Batch-scan a full class and review only the flagged few, with exportable evidence reports for integrity processes.
Batch actions
Act on groups, not one at a time.
Student-facing experience
Students submit work through Google Classroom as usual. Those who draft in BareGPT automatically build an authorship record — revisions and progress over time — that protects them if their work is ever questioned.
Students can also pre-check their own drafts, see what reads as generic or machine-like, and revise in their own words before submitting. Better writing, fewer disputes.
MVP scope
When does the Education Portal launch?
We are opening access soon. Join the waitlist to be notified for early partner onboarding.
How is this different from Turnitin's AI detector?
Two ways. First, every BareGPT result shows its evidence — the exact sentences that drove the score, plus a confidence range and false-positive risk — instead of a bare percentage. Second, students can build authorship records as they write, so a flagged submission can be resolved with process evidence rather than a standoff.
How does batch analysis work?
Upload an entire class of submissions at once. BareGPT scans everything and shows you a dashboard: which submissions show strong AI signals, which are clean, and which are ambiguous — each with its evidence attached, so you review the flagged few instead of all 30.
What about false positives?
This is the core problem with AI detection in education, and we design around it. Every score carries an explicit confidence interval and false-positive risk. Ambiguous results are labeled ambiguous. And student authorship records give falsely flagged students a way to clear themselves with evidence.
What is student authorship verification?
Students who draft in BareGPT build a record of their writing process — revisions and progress over time. When a submission is questioned, the student can share that record. It turns accusations into conversations backed by evidence on both sides.
Does it work with Google Classroom?
Yes. Import your classes, sync rosters, post assignments, and collect submissions without leaving your workflow. Students submit through Classroom as usual.
What about student privacy?
Student data is protected under FERPA and COPPA. We never sell student data or use it to train AI models. Teachers control what data is collected, and students can only be added through school-authorized accounts.
Is BareGPT free for teachers?
We offer free pilot access for schools and teachers who want to try the Education Portal. Contact us to request pilot access for your school or district.
Do you offer training for teachers?
Yes. Pilot schools receive onboarding support, training workshops, and a dedicated account manager — including guidance on using detection results fairly in academic integrity processes.
For Educators
AI detection in education has a trust problem. Detectors hand teachers a bare percentage, teachers act on it, and students — sometimes innocent ones — pay the price. False positives fall hardest on non-native English speakers and careful, structured writers. Every wrongful accusation erodes the trust a classroom runs on.
BareGPT was built for that reality. Every score arrives with its evidence: the exact sentences that raised flags, why they raised them, how confident the signal is, and how likely a false positive is. You see what the detector saw, so your judgment — not an opaque number — makes the call.
And detection is only half the system. Students who draft in BareGPT build authorship records as they write. When a submission is questioned, the conversation starts with evidence on both sides: your detection report, their writing process. Most disputes resolve in minutes.
The result is an integrity process that is faster, fairer, and defensible — to students, to parents, and to administrators. That's what detection should have been from the start.