Watch AI check its own work.
Give Raptor a prompt with a few facts in it. As the model answers, it labels every claim — green where it checked out against what you gave it, grey where it’s reasoning on its own. The parts it couldn’t confirm are flagged out loud, so you’re not the one left to catch them.
No account. Nothing is stored. Raptor answers your prompt and labels each claim as it writes — about 10 seconds.
These are the model’s own labels — Raptor’s job is to make them explicit, consistent, and tamper-evident, not to grade the model. Read each one and judge it yourself: a label the model got wrong is one you can catch, because it’s marked instead of buried.
On every governed Raptor answer, these labels are written onto a signed, tamper-evident record — so grounded fact and model inference stay separated where anyone can audit them, later, without trusting Raptor.
Verify a real record yourself →- You asked. Any prompt, any topic — the more concrete facts, the more there is to check.
- It answered, and marked its work. As the model wrote, it labeled each claim by how it got there.
- It flagged what it couldn’t confirm. The grey claims are the model’s own reasoning — the parts you’d otherwise have to fact-check blind.
- On the record, it’s provable. Governed answers carry these labels on a record you can verify independently.