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Check an AI answer

Find claims that still need evidence.

Ask other models to identify unsupported claims, contradictions, and missing context. Use the review to decide which statements to check against primary sources.

The Problem

A second model is still not a source.

Treat model feedback as a lead for verification.

What can go wrong

An answer can mix supported facts, reasonable inferences, and speculation without marking the difference. Asking the same model for reassurance may repeat the same framing.

What review adds

Other reviewers can question individual claims and suggest alternative readings. Their disagreement tells you where to investigate; agreement does not verify a statement.

Illustrative example: catching a missing assumption

Illustrative review
Example
User Premise

"The car wash is 100m away. Should I walk or drive there?"

GFirst response

"You should walk to save emissions and get some exercise. It's only 100m!"

DDeepSeek V4 Pro (Detector)

"I strongly disagree. This treats the question as a pure transportation optimization problem. If you walk, the car sits unwashed. The correct answer is unequivocally drive."

Claude Opus 5C

"The Detector correctly identified the premise's trick. The user needs the car at the destination to utilize the service. A car wash cannot wash a pedestrian."

OGPT-5.6 Sol (Chairman)

"Consensus reached. While the initial response prioritized safety and emission conditioning, it failed basic logical constraints. You must drive to get the car washed."

Core Features

Built for consequential work

Surface unsupported claims

Independent model responses can surface contradictions, missing support, and claims that need external checking before you rely on them.

Use independent perspectives

Assign different roles and review paths so a draft faces more than one perspective. Agreement remains a signal to inspect, not a guarantee of truth.

Inspectable review records

Keep the transcript of the review, including its objections and conclusion, so you can inspect the reasoning and decide what still needs human verification.

How a review works

Bring the work, choose the kind of feedback you need, and inspect the result.

01

Add the work

Paste a proposal, plan, claim, or AI answer. Include the question and context the reviewers need.

02

Choose the review

Select models, a review format, and the number of rounds. Follow their responses as the review runs.

03

Read and revise

Read the conclusion, unresolved objections, and transcript. Revise the work and check the evidence that matters.

Published research

Agreement is useful evidence, not proof of accuracy.

Our observational disagreement study examines 558 completed reviews and 9,507 assessed claims in the product corpus. It describes how model positions changed; it is not an accuracy benchmark.

Read the study →

Check the claims before you repeat them.