AI detection is broken. False positives ruin lives. Provenance takes a different approach: instead of guessing what made something, it proves how it was made. Cryptographic proof of your creative process.
AI detectors don't work. They never did. They flag non-native English speakers. They accuse students who write well. They produce false positives that destroy academic careers. And every new model makes detection harder.
"The question isn't 'Did AI write this?' The question is 'Can you prove you made it?'"
The world isn't "human vs. AI." That's a false binary that punishes legitimate use of tools. Provenance recognizes three classifications — and the third one changes everything.
Continuous typing patterns. Natural pauses for thought. Editing, revising, backtracking. A behavioral fingerprint that is unmistakably human.
No typing process recorded. Large blocks of text appear instantly. Paste-in patterns with no iterative creation process. The absence of proof is itself informative.
The game-changer. You used AI as a tool — prompting, editing, revising, directing. Your creative process is still real. Your thinking is still there. Provenance proves it.
"Human-Directed" is the classification that education needs.
Using AI well is a skill. Provenance proves you have it.
Provenance runs silently in the background while you create. When you're done, you have cryptographic proof of your entire creative process — without anyone seeing your work.
Start Provenance and work normally. Write, code, design. The daemon captures keystroke timing — never content. Never keystrokes. Just the rhythm.
On your machine, Provenance builds a statistical behavioral fingerprint — your unique creation pattern. Pauses, bursts, editing cycles, thinking time. All local.
Only a SHA-256 hash — a meaningless string of characters — is anchored on-chain. Your fingerprint data never leaves your machine. Ever.
Present your Provenance Certificate. Timestamp, process classification, blockchain verification. Immutable proof that you made it, how you made it, and when.
Sub-100KB binary. Zero dependencies. Written in Zig for maximum security and auditability. Open-source daemon — verify every line. Direct OS APIs, no frameworks, no supply chain risk.
Provenance is architecturally incapable of seeing what you type. Not "we promise not to look" — the code literally cannot capture content. This is verifiable, auditable, and open-source.
The current approach to AI in education is fear-based: detect and punish. But the students who learn to use AI well are the ones employers want. Provenance makes that skill visible and verifiable.
Run student work through a detector. Get a percentage. Accuse the student. No proof. No appeal. Relationship destroyed.
Faculty use AI to draft emails, prep lectures, and write grants — then punish students for the same behavior. The double standard is unsustainable.
Students prove their process — human-created or human-directed. Both are legitimate. Both demonstrate real learning. Both earn the grade.
AI literacy is the new digital literacy. Students who learn to prompt, direct, edit, and refine are building the skills that matter. Provenance makes that visible.
"How many of us used AI to prep for this panel? Would we fail a student for doing the same thing?"
Provenance eliminates the hypocrisy by making process visible — for everyone.
Provenance is in active development. Join the waitlist to get early access when we launch. Students, creators, educators — you're the people we're building this for.
No spam. No selling your email. We'll notify you when early access opens.