Evidence
Does the text point toward sources, studies, data, documents or named organizations that a reader could investigate?
This guide explains how to use the tool, how to read its result, and how to move from the indicator to the underlying evidence. It is written for readers who want a practical starting point — not a technical description of the scoring model, which is covered in the Methodology.
The Supience Information Check is designed for one situation: you have a paragraph of information — an AI answer, an article, a recommendation, a business claim — and you want to know what to look at more carefully before relying on it.
The tool does not tell you whether the information is true. It looks at observable characteristics of the text that can make a claim easier or harder to investigate.
The indicator is built from four dimensions. Each one asks a different question about the text.
Does the text point toward sources, studies, data, documents or named organizations that a reader could investigate?
Does the text contain concrete details — names, dates, quantities and conditions — or does it rely on vague statements?
Does the wording acknowledge relevant limits and conditions, or does it present complicated claims with excessive certainty?
Does the text give a reader something specific to check independently?
The tool is designed to perform its core analysis in your browser. Its purpose is to provide an immediate assessment of observable characteristics in the text you submit.
The result shows four component scores and an overall indicator. The overall indicator is a summary, but the four components usually tell you more than the total.
For example, a paragraph might score relatively well on evidence because it mentions a study, but poorly on specificity because it does not say what the study measured, when it was done or what the result actually was. In that case, the evidence signal is present, but the claim may still be difficult to check.
A high indicator does not mean the information is true. Text can contain citations, dates and specific numbers and still be wrong — for example, if the citation is inaccurate, the date is misleading or the numbers are presented without important context.
The indicator measures signals that make a claim easier to investigate. It does not measure whether the claim survives that investigation.
A low indicator does not mean the information is false. Short, informal or conversational text may simply not contain the observable signals the model is designed to recognize.
For example, a short factual statement such as "The library closes at 6 PM" may not contain enough text for meaningful signal detection. That does not make it wrong.
The tool is most useful when:
AI-generated answers can be fluent and specific without necessarily providing enough information for a reader to independently verify every important claim.
When checking an AI answer, pay particular attention to important factual claims, dates, numbers, citations, named studies, recommendations and statements that could affect a decision.
For a more detailed AI-specific process, see How to Verify an AI Answer.
Do not use the indicator as the basis for a high-stakes decision. Medical, legal, financial, safety and security questions require authoritative sources and, where appropriate, qualified professional advice.
The tool should also not be used to make claims about the honesty of a person, the reliability of a company or the accuracy of a specific website based solely on a score.
You can use the tool as part of a short verification routine:
For a longer version of this process, see the Information Verification Checklist.