WhatA forensic tool that analyzes drafts before publication to detect AI-generated text, fabricated quotes, and hallucinated citations, designed specifically for newsrooms and editorial workflows.
SignalThe incident shows that major publications have zero systematic tooling to catch AI-fabricated content before it goes live — the fabricated quotes were only caught after publication by the person who was misquoted, not by any internal editorial process.
Why NowJournalists are increasingly using AI assistants in their workflow (the fired reporter was using Claude Code), but newsroom QA processes haven't adapted — creating an urgent gap as AI-assisted writing becomes the norm rather than the exception.
MarketNews publishers, PR firms, academic journals, and legal publishers. ~50K newsrooms globally, enterprise SaaS at $500-5K/mo. Competitors like Originality.ai focus on AI detection, not quote/fact verification — a critical gap.
MoatProprietary dataset of verified vs. fabricated quotes and claims built from publisher partnerships; deep integration into CMS workflows (WordPress, Arc, etc.) creates switching costs.
Ars Technica fires reporter after AI controversy involving fabricated quotesView discussion ↗ · Article ↗ · 606 pts · March 3, 2026
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