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AI answers, checked against the record

Ask one question. See which answers hold up.

Veritas puts the same question to two or three AI models and checks each answer against a dated public source. Every finding is tied to the exact words that triggered it, so you can judge the evidence yourself.

See all six questions
An answer, annotated

Reference

How a check works

  1. Pick a question with a known answer.Each sample is paired with a published figure, its date, and what the figure does not cover.
  2. Compare models side by side.Every model gets the same prompt and its own conversation history. Nothing is shared between them.
  3. Read the finding, then the evidence.The answer is compared with the reference, the flagged wording is highlighted, and the source opens in one click.
  4. Look across questions.The audit dashboard counts agreement, factual discrepancies, and possible bias for each model.

What a finding means

Matches reference
The answer agrees with the source on the figure, direction, and scope. It says nothing about the rest of the answer.
Factual discrepancy
A wrong number, direction, or scope, such as calling a one-night count a full-year total. An error alone is not treated as bias.
Potential bias
The answer adds an unsupported explanation or stereotype that the source does not back. It is flagged for a person to review.
Not assessed
No reference exists for this prompt, or the check could not finish. Veritas does not guess.

Sources behind the questions

    Open the source library ↗

    What this does not tell you

    • It covers six curated questions from three publications. It is not a ranking of models.
    • References are dated snapshots, not current figures.
    • Assessments are automated and can be wrong. Human judgment comes first.
    • Without an account, your prompts and results are saved only in this browser. With one, they sync to your account.

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    Reference details