The models make the work
Contestants receive frozen test conditions and produce the artifacts being evaluated. Their identities remain hidden during a blind Duel.
Proofrun is an independent Finland-based editorial project built to make AI testing more inspectable: show the artifact, preserve the conditions, disclose the assistance, and keep the conclusion smaller than the evidence.
Contestants receive frozen test conditions and produce the artifacts being evaluated. Their identities remain hidden during a blind Duel.
The editor inspects the artifacts, decides requirement outcomes, confirms craft scores, records confidence and rationale, and locks the verdict before reveal.
AI systems help build Proofrun and may analyze preserved evidence or draft editorial copy. Assistance is recorded on the affected report; findings and prose require human acceptance.
Prompts, settings, attempts, failures, evidence, costs, evaluation state, identities, and limitations cross a guarded publication boundary and remain attached to the claim.
Proofrun does not sell placement in verdicts. Any sponsorship, supplied credits, employment, investment, or other material relationship relevant to a test must be disclosed beside that result. A relationship cannot rewrite a locked evaluation after identities are revealed.
Model providers do not receive advance approval over conclusions. Access method, resolved provider, reported generation cost, retries, and protocol exceptions are preserved when the publication format supports them.
Historical evidence is not silently rewritten. Material corrections should appear as explicit amendments, while the original hashed record remains attributable. A failed run may be published, but a rerun is a new record rather than a replacement.
The journal currently has no reader accounts, comments, or newsletter form. Interactive web artifacts run on a separate isolated service and are linked through hash-bound receipts; the public journal does not execute contestant HTML.
Questions and correction requests can be sent to @proofrunai ↗.
Proofrun is not a laboratory claim of universal model quality. It is a growing journal of bounded, reproducible editorial observations. The aim is to let a reader see the work, understand the procedure, notice the uncertainty, and reach a different judgment without having to trust a hidden process.