Judge the deliverable, not a brochure about it.
This is a complete LLM Validation Report produced by the production instrument for a fictional composite client, Meridian Mutual Insurance. Same pipeline, same report generator, same honesty rules as a paid engagement. Read it before you spend a dime or a meeting.
Five sections, in the order a reviewer needs them.
Results summary. The measured fabrication behavior of the model, stated plainly, with the baselines it was measured against.
Per-domain reliability. Where the model holds and where it slips, by question domain, so review effort goes where the risk is.
Flagged answers. The specific outputs the instrument flagged, quoted, so your team can verify every finding with their own eyes. Nothing asks to be taken on faith.
Machine-readable findings. A findings file accompanies every engagement so your governance tooling can carry the evidence forward.
Methods and limitations. What was measured, how, with what error rates, and what the measurement cannot see. This section is why the rest of the document is credible.
A screening measurement of the model itself.
It's not a checklist or a vendor questionnaire. What it does is measure the model itself, reading the model's own internal signals rather than grading marketing claims, using your real question types on a model you host or control. In testing so far it catches fabricated answers at about 0.85 AUC on models it has never seen before; that figure is provisional until the work is published. The engagement runs in five business days, needs no customer data, installs nothing, and every question is answered in writing.
Questions people ask about the sample
Is Meridian Mutual a real client?
Will my report be published like this one?
What would be different in my report?
Why does the sample admit weaknesses?
Want this file, with your model's name on it?
Send your question types and a designated endpoint, and the signed report is in your governance file five business days later. Pricing is published, fixed, and never success-based.
Email the lab