Reviewers
The scholars and researchers who evaluate AI-generated content, identify its limitations, and hold every article to rigorous academic standards. No registration. No deadlines. Just your expertise.
This Is What Expert Review Reveals
AI articles look authoritative. Expert reviewers show exactly where that confidence breaks down. These are real findings from published reviews on this platform.
“Three of the cited sources appeared entirely credible — correct journal names, plausible author names, realistic publication years. None of them exist.”
The reviewer systematically verified every reference in the bibliography and found fabricated citations indistinguishable from real ones. The article showed no surface-level signs of error — only domain expertise caught it. → Read the full article & review →“The methodology section described a standard benchmark correctly, then quietly applied it to a different task than the one stated — a subtle but critical logical error.”
The AI produced internally coherent prose that was structurally wrong. A reader outside the subfield would likely miss it entirely. The reviewer’s expertise made the gap visible. → Read the full article & review →“The statistical claim in the abstract was accurate. By the discussion section, the same statistic had been subtly reframed to support a conclusion it could not actually support.”
No single sentence was false. The accumulation of small shifts in framing produced a misleading argument — one of the most common failure modes reviewers have identified across disciplines. → Read the full article & review →Many reviewers choose to remain anonymous — and we fully respect that. Findings above are drawn from published reviews. Named profiles appear below as reviewers opt into public attribution.
How Reviewing Works
No sign-up. No deadlines. Browse the article 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. Choose to 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 beyond this platform.
Pioneer Status
Be part of the world’s first systematic effort to benchmark LLM performance in scholarly writing. Your evaluations help shape the global standard for AI reliability in research.
A Published Contribution
Every review is published alongside the article — attributed by name or anonymously, 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 AI Safety
Your findings become part of the open dataset used to benchmark AI reliability across disciplines. Real evidence for a debate that needs it — not just opinions.
Your Work Gets Credited
Every reviewer chooses their own attribution. Anonymous or named — both options are permanent, public, and linked directly to the articles you evaluated.
Anonymous Reviewer
Civil Engineering
1 review publishedAnonymous Reviewer
AI & Machine Learning
1 review publishedAnonymous Reviewer
Mechanical Engineering
1 review publishedAnonymous Reviewer
Social Sciences
1 review publishedAnonymous Reviewer
Fundamental Sciences
1 review publishedYour Name Here
Your Discipline
opt into attributionYour review is published and linked to the article. Your identity stays private — permanently.
Your name, institution, and discipline appear on this page and on every article you reviewed. Permanently citable.
Your Expertise Belongs
in This Record
If you hold a .edu email address and have domain expertise in any academic field, you can evaluate an article today.
We sincerely thank our reviewers for their time, insight, and invaluable contributions to advancing trustworthy AI-assisted scholarship.