How reviewing works
No sign-up. No deadlines. Browse the archive, find your area of expertise, and submit your evaluation.
Read
Browse the article archive, filter by discipline, and choose an unreviewed article in your area of expertise.
Evaluate
Assess the article for accuracy, reasoning, citation integrity, and methodology. Flag hallucinations, errors, and gaps.
Document
Submit your review via our .edu-verified form. Publish under your name or anonymously — it goes live alongside the article.
What reviewers gain
Reviewing AI-generated research is a genuinely novel scholarly exercise — and one that matters well beyond this platform.
Pioneer Status
You aren’t just checking an AI’s work. You’re contributing to the only systematic public record of whether AI can do genuine scholarship — and your evaluation is a permanent part of it.
A Published Contribution
Every review is published alongside the article — attributed or anonymous, your choice. A permanent, citable record of your expert evaluation for your CV and portfolio.
Forensic AI Analysis
This is closer to forensic analysis than traditional peer review — hunting hallucinations, fabricated citations, and confident-sounding errors. Many reviewers find it genuinely engaging.
Real Data for a Historic Question
Your findings join a permanent, accumulating dataset tracking whether AI is approaching the threshold of genuine scholarship. The better AI gets, the more significant the early record becomes.
Your work gets credited
Every reviewer chooses their own attribution. Anonymous or named — both are permanent, public, and linked directly to the articles you evaluated.
Your review is published and linked to the article. Your identity stays private — permanently.
Your name appears on this page and on every article you reviewed — a permanent, citable record of your expert evaluation.