Traditional journals take months. Preprint platforms offer no reviews. AI Peer Review gives you the best of both worlds, enhanced with a hybrid workflow that balances rapid algorithmic analysis with human expertise. AI Peer Review sits at the intersection of rapid AI-powered validation and traditional academic expertise. By presenting AI ratings and human reader metrics side-by-side, we do not enforce a singular algorithmic verdict. Instead, we empower the academic community to transparently compare human and machine evaluation, allowing individual researchers to form their own objective opinion on the manuscript's validity.
Submit your article or book the usual way. Our platform initiates a multi-stage evaluation process:
- Data Preparation: Your manuscript undergoes an initial AI analysis to collect and cross-reference context from external authoritative sources.
- The AI Track: Multiple LLMs independently evaluate your work, delivering structured numerical scores and detailed written reviews within hours. The system suggests whether the work is ready for full open access or better suited for registered readers, but the final decision to publish is always yours.
- The Readers Track: once you decide to publish, your work will become available to our network, and experts will be able to leave Reader Reviews.
All published works appear under a Creative Commons license.
We are currently accepting submissions in the Economics, Sociology, and Political Science categories.
Ready to test your research with AI reviewers and verified peers?