About Verbatim
What Verbatim is, and how it works.
Verbatim uses rival AI models to cross-examine each other. Take any response in ChatGPT, Claude, Gemini, Grok, or Perplexity and hit the V button. A competing model argues against it in place: what holds up is verified, what gets challenged is disputed, what no model raised is a gap. Then it tells you what to do about it.
The reason this works: an AI's response is the sum of two things, information and the reasoning applied to that information. Both are fundamentally imperfect, and neither failure announces itself. The answer arrives fluent, confident, and internally coherent, qualities that signal correctness without producing it.
Which is why the challenge has to come from a rival. Models built by different labs, trained on different data, do not share the same blind spots, so what one cannot see is exactly what another is positioned to catch. Running a competing model against an answer is the most efficient way to surface what is wrong with it, which is why Verbatim never lets a model review its own work.
Who it's for
Verbatim is a decision-time tool for people consuming AI output. Consultants, analysts, lawyers, journalists, pressure-testing one answer before it becomes a decision.
The outcome
You make decisions with greater confidence knowing which parts of an AI's answer have held up under scrutiny and which haven't.
How it works
Verbatim applies cross-examination at three different weights, depending on what the situation requires.
The Debate.
A single competing model cross-examines an AI response in place. You're reading something in ChatGPT, Claude, Gemini, Grok, or Perplexity and want a second opinion. Verbatim runs one adversarial pass from a different model (critique, alternative framing, or distillation) without leaving the page. The everyday tool.
The Council.
Multiple competing models cross-examine the same response in parallel, then a synthesizer reconciles their critiques into a single verdict. You get the equivalent of a panel review in your browser. For when one second opinion isn't enough.
The Index.
The full methodology run on a fixed question with 9 source models, 8 critics per source, across four structured turns. Published as evidence. The Index proves at scale what the extension does at the point of consumption. The receipts.