Proposition Audit — AI Output Trust Verification

Profile

• Jurisdiction: England and Wales (the maintained domain-routing profile; other jurisdictions illustrated under Step 2).
• Practice area: Clinical negligence and healthcare law (the maintained example domain; the methodology generalises to any field where AI-drafted factual content needs structured verification).
• Intended user: A practitioner verifying AI-generated factual or interpretive content before professional reliance — publication, court use, formal external use, or internal reliance.

Purpose

AI-generated research, statistics, citations, and factual claims require structured verification before professional use. This skill provides a systematic post-hoc audit — classifying each claim by type and salience, searching domain-appropriate sources, scoring trustworthiness transparently, and flagging what needs attention.

This complements rather than replaces rigour during generation. It is an independent verification layer applied to completed output.

The Verification Process

Step 1: Agree the Threshold

Before beginning verification, ask what minimum standard applies to this use case. Offer these defaults if the user has no preference: