Judge benchmark

Can AI judge a debate round?

It is a live argument on every circuit. We are building the answer in public, starting from a real zero, because a benchmark you can't interrogate is marketing.

35
rounds and speeches logged to the corpus (signed-in rounds only; guest rounds are never stored)
0
rounds in the published expert-rated set. The number this page exists to grow.
15
formats, each with its own encoded judging norms
2,195
published judge paradigms distilled into those criteria
As of July 4, 2026. Every count on this page reconciles to a live database query. It updates as the rated corpus grows.

What is being measured

A round counts as agreement when the AI ballot's winner matches the winner in the expert rating of the same round. Not "did the AI say something plausible": the same transcript, two independent verdicts, do they land on the same side.

The judge does not return a bare verdict. Every ballot is a full reason for decision: which arguments survived, which were dropped, how the weighing resolved, speech-by-speech notes. That is the part debaters actually learn from, and it is also what makes disagreements inspectable: when the AI and the expert split, you can read both rationales and decide who judged the round better.

Methodology

Where this stands, honestly

All three shrink the same way: more rated rounds, more raters. The numbers on this page will move as that happens, in either direction.

Test it yourself

The benchmark you can run right now beats the one you read about. Paste any round transcript and get the full ballot:

Get an AI ballot on any round →
Citing this. "DebateIt AI Judge Benchmark, July 2026: benchmark in progress; 35 rounds and speeches logged, expert-rated set not yet published, no agreement number yet." Link this page. Questions or want the methodology in more depth? Write us.