Reviewers
The scholars and researchers who assess whether AI-generated scholarship meets the standard — building the only systematic public record of AI capability in academic writing. 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.
“In the introduction, the manuscript mentions that errors of more than 50% are not uncommon, which I don't believe is accurate for most of the equations in the literature. A statement like this definitely requires references to support it, which the manuscript lacks.”
→ Read the full article & review →“The manuscript identifies some key references relevant to the topic, such as ASCE 61, but it misses several important references with test results.”
→ Read the full article & review →“The material presented in the "Proposed Novel Insights and Future Directions" section has already been extensively discussed and developed in numerous studies over the past decade, diminishing the originality of this section. ”
→ Read the full article & review →“ I have two observations about the use of sources. First, citations are consistently paraphrased, with almost no direct quotations, even in places where a succinct definition of a key concept might benefit from being quoted verbatim. Second, the citation pattern is highly uniform: sources are almost always cited at the end of sentences or paragraphs. In other words, the text predominantly employs an information-prominent pattern rather than an author-prominent pattern, or a mix of both. ”
→ 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
You are not just checking an AI’s work. You are contributing to the only systematic public record of whether AI can do genuine scholarship — and your evaluation is a permanent part of that record.
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 a Historic Question
Your findings become part of a permanent, accumulating dataset tracking whether AI is approaching the threshold of genuine scholarly contribution. 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 options are permanent, public, and linked directly to the articles you evaluated.
Anonymous Reviewer
Engineering, Computing & Technology
1 review publishedAnonymous Reviewer
Engineering, Computing & Technology
1 review publishedAnonymous Reviewer
Engineering, Computing & Technology
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 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.