AI Peer Reviewer System Helps Researchers Improve Manuscripts Before Submission
Researchers built an AI-powered peer review system to speed up manuscript feedback, offering detailed analysis and actionable recommendations before journal submission.
Researchers frustrated with slow journal responses and minimal co-author feedback have developed an AI-powered peer review system to help improve manuscripts before submission. The tool, called Rigorous, uses a multiagent approach to analyze scientific papers, providing detailed feedback on methodology, writing quality, and more.
Key Features
- 24 specialized agents analyzing various sections of manuscripts
- Detailed feedback with actionable recommendations
- PDF report generation for easy sharing
- Support for custom review criteria and target journals
How It Works
-
Cloud Version (Free During Testing)
- Upload your manuscript at https://www.rigorous.company/?utm_source=agenthunter.io&utm_medium=news&utm_campaign=newsletter
- Receive a comprehensive PDF report within 1–2 working days
- No setup required
-
Self-Hosted Version (GitHub)
- Available at https://github.com/robertjakob/rigorous?utm_source=agenthunter.io&utm_medium=news&utm_campaign=newsletter
- Use your own OpenAI API keys
- Full control over the review process
- Customize agents and criteria
- MIT licensed
Target Audience
The system is particularly useful for researchers preparing manuscripts before submission to co-authors or target journals. The developers are seeking feedback from the HN community, especially PhDs and researchers across all academic fields. The project is open source and welcomes contributions.
GitHub: https://github.com/robertjakob/rigorous?utm_source=agenthunter.io&utm_medium=news&utm_campaign=newsletter Cloud version: https://www.rigorous.company/?utm_source=agenthunter.io&utm_medium=news&utm_campaign=newsletter
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About the Author
Dr. Emily Wang
AI Product Strategy Expert
Former Google AI Product Manager with 10 years of experience in AI product development and strategy formulation. Led multiple successful AI products from 0 to 1 development process, now provides product strategy consulting for AI startups while writing AI product analysis articles for various tech media outlets.