LOCAL AI ANSWER AUDIT / NO SECRET JUDGE

Audit an AI answer before you trust it.

Turn a long answer into a claim-by-claim verification plan. The map identifies what deserves evidence; it never pretends to know what is true.

RUNS IN THIS BROWSER NO MODEL CALL TEXT UPLOAD: OFF RULESET::--

WHAT APPEARS HERE

A map, not a verdict.

The workbench separates checkable claims, ranks verification pressure and gives you an evidence checklist without sending the answer anywhere.

01Numbers, dates and time-sensitive wording
02Absolute or high-impact claims
03Attached citations and missing source coverage

PORTABLE EVIDENCE PACKET

Take the audit with you

METHOD::VISIBLE

Transparent rules, visible limits.

The analyzer uses sentence segmentation and public pattern rules. It detects verification signals; it does not retrieve evidence or infer truth.

01 / DECOMPOSE

Separate answer text into checkable units before assigning evidence.

02 / PRIORITIZE

Bring current, numeric, absolute and high-impact claims to the front.

03 / VERIFY

A human records support, contradiction or uncertainty and keeps the source URL.

PRIVACY::BOUNDARY

Your answer stays local by default.

Analysis, status changes and exports run in the browser. Anonymous metrics contain only page and button IDs. Claim text leaves only when you explicitly open an external search.

What this tool does not claim

It is not an AI-content detector.
It does not declare a claim true or false.
It does not verify that a citation supports nearby text.

RESEARCH::CONTEXT

Why claim maps matter

Long answers can contain many factual units. Current evaluation work increasingly separates claim extraction, grounding, citation support and calibration instead of hiding them inside one score.