Built for teachers who want to know their students wrote their paper — not an AI's educated guess on AI.
Half your assignments now look AI-written. You can't unsee it. AI detectors give you confident verdicts that turn out to be wrong. Your students push back when you confront them, and you're not sure anymore yourself.
Red Stet shows you how each student wrote — not whether they used AI. You see the writing happen: the pauses, the corrections, the paragraphs that came together one keystroke at a time, the paragraphs that arrived as a single paste. You don't have to be a detective. The evidence is in front of you.
Your job becomes asking better questions, not making accusations.
Today: if you ever get accused, you have the evidence. Red Stet records your writing process automatically — every keystroke, every revision, every late-night session — and packages it as a verifiable file you can show anyone.
Tomorrow: your writing voice is going to be the most valuable thing you have in the AI era. As AI tools become normal, the question becomes: is your voice still yours? Red Stet is building your Writing Profile, year by year. Start in 9th grade. Carry it through college. Have proof of your voice — for the rest of your life.
The voice you write in today becomes a record you carry forward. The further back the record goes, the harder it is to dispute.
Three things to know: how it works, what it removes, what it gives back.
Students write in the Red Stet editor. Every keystroke, paste, and revision is captured inside the working surface — nothing outside it, no camera, no screen recording. At submission, the recording is signed, encrypted, and anchored. Encrypted Authorship Verification — EAV — is the layer underneath. Teachers see the document and the recording together. The two either line up, or they don't.
False-positive integrity cases. AI detectors produce confidence scores that turn out wrong often enough to wreck student records and faculty reputations. Red Stet doesn't produce a score. It produces a recording. There's no false positive to defend against because there's no statistical guess underneath.
Integrity-board cases that fall apart on evidence. Process recordings hold up where confidence scores don't. Your integrity board reviews verifiable evidence — keystroke timelines, paste positions, focus events — not a vendor's percentage they have to take on faith.
The liability that comes with confronting students on a guess. When a teacher accuses a student based on an AI detector, your district owns the downstream legal exposure. Red Stet makes the accusation factual: this paragraph arrived as a paste at 2:14 AM. Either the student can explain it, or they can't.
Teacher confidence. Your teachers can ask a student about a specific moment in their recording. The conversation is grounded in evidence both sides can see. The accusations stop; the conversations start.
Student trust. Students see what teachers see. The same evidence. No black box. No statistical confidence to argue with. The integrity process becomes interpretable instead of adversarial.
A multi-year writing record per student. Every student carries their Writing Profile across their years in your school — a compounding asset that's useful for honors programs, grade appeals, and college applications. The longer a student has been writing in Red Stet, the harder any future authorship dispute is.
Detection tools made integrity boards adjudicate statistics. We give them evidence. — The Red Stet promise
Process records, not statistical confidence scores. Real evidence integrity boards can review. Real proof teachers can stand behind.
Students see what teachers see. The same evidence. No black-box detector flagging them with no recourse. Trust restored.
Every student you license carries a Writing Profile across their years in your school. A multi-year record of writing development your honors programs, grade appeals, and integrity board can rely on.
The honest answer to "isn't this just AI detection."
AI detectors are statistical guesses. They run text through a model and produce a confidence score. They're wrong often enough that universities are walking away from them. They destroy trust. They produce false positives that wreck students' records and faculty's reputations.
Red Stet doesn't guess. We record. The teacher sees the actual writing process. They see the paragraphs that came together one keystroke at a time and the paragraphs that arrived as a single paste. They see the pauses, the corrections, the natural rhythm of a writer thinking on the page.
Then they make the call. It's their judgment, supported by real evidence — not a percentage they have to trust or argue with.
And we don't sell the AI tools that would launder our own verification. We make one product. Our incentives are aligned with yours.
| Red Stet | AI detection tools | |
|---|---|---|
| What you get | The actual writing process | A confidence percentage |
| False positives | None possible — it's a recording | Routine and documented |
| Defensible in integrity hearings | Yes — verifiable evidence | Often dismissed |
| Conflict of interest | None — we don't sell AI tools | Several major vendors sell both AI and detection |
| Student-facing trust | Students see what teachers see | Black box — students can't review the basis |
A multi-year writing identity that follows each student through your school.
Every student writing in Red Stet builds a personal Writing Profile — their typing rhythm, revision patterns, vocabulary growth, the way their sentences open. By graduation, they have years of authenticated writing identity. So do you.
The profile is preserved indefinitely. While your students are enrolled at your school, they have full access on your dime. After graduation, they have the option to continue with a personal subscription. Either way, the record persists — and verifies offline through our standalone tool, free, no account required, forever.
The voice you write in today becomes a record you carry forward. The further back the record goes, the harder it is to dispute. — The Red Stet pitch to students
Detection failed. False positives broke faculty-student trust. Red Stet doesn't repeat the mistake. Real evidence, interpretable judgment, restored trust.