Authority Verification Engine Verify whether AI summaries are actually supported by the documents they cite. The engine checks AI output claim by claim against the source text, showing what is supported, what omits conditions, and what isn’t in the document at all. Deterministic containment verification with quoted evidence and page references. Web app + API for teams building or relying on AI document workflows.
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Maker
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Hi everyone,
So I built Authority Verification Engine after noticing something simple but subtle, AI isn't going anywhere and most teams are already using AI to draft, review and summarize contracts, policies, and legal documents. Yet there is no way to verify these outputs are supported in the source material aside from manual review.
Various domains are relying on GenAI processed but are being hit with sanctions and lawsuits due to hallucinations and over scoped claims.
My project has a singular primary focus:
Is an AI-generated claim explicitly contained in the document it pulls from?
My engine breaks summaries into claims, verifies each against the source, and produces an evidence-backed artifact that details what is support and what is not, including reasons why and with quotes and page references. There is absolutely No semantic guessing, no AI opinions, full deterministic pipeline.
I am also introducing a measurement framework called Authority Containment Fidelity (ACF) to make reliability itself measurable and reproducible.
Would love feedback from anyone building AI document tools or relying on AI outputs in real workflows. Happy to answer anything
Thank you in advance to anyone who reaches out!