Skip to main content
AI Debate Platform

Review one answer through structured AI debate.

Give several AI models the same question and context. Choose how they challenge one another, then read the conclusion alongside the objections and transcript.

Core Capability

Adversarial AI Debate

Choose a format for the kind of feedback you need.

Why structure matters

Several separate answers still leave you to reconcile the differences. A review format gives each model a role and keeps their responses in one conversation.

How the review ends

Reviewers respond according to the selected format. A final model brings the strongest points together and keeps unresolved objections visible. You still decide what to verify and what to change.

Illustrative example: a question with missing context

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 (Challenger)

"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."

OGPT-5.6 Sol (Chairman)

"The Challenger is correct. While the Defender prioritized safety and emission conditioning, it failed basic logical constraints. You must drive to get the car washed."

Different responses made the hidden purpose of the trip visible. That is useful review evidence, not a guarantee that a panel will always be correct.

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 →

See what another reviewer finds.