Show HN: AI Peer Reviewer – Multiagent System for Scientific Manuscript Analysis

https://news.ycombinator.com/rss Hits: 15
Summary

Rigorous - AI-Powered Scientific Manuscript Analysis Cloud Version Available: A cloud version of the AI Peer Reviewer is now available at https://www.rigorous.company/. Simply upload your manuscript, provide context on target journal and review focus, and receive a comprehensive PDF report via email within 1-2 working days. The cloud version is currently free for testing purposes. This repository contains tools for making scientific publishing more transparent, cheaper, faster, and ensuring rigorous peer and AI review. Project Structure Agent1_Peer_Review : Advanced peer review system with specialized agents for comprehensive manuscript analysis, detailed feedback, and professional PDF report generation. : Advanced peer review system with specialized agents for comprehensive manuscript analysis, detailed feedback, and professional PDF report generation. Agent2_Outlet_Fit: (In Development) Tool for evaluating manuscript fit with target journals/conferences. Current Status Active Tools Agent1_Peer_Review : ✅ Ready for use Comprehensive manuscript analysis with specialized agents Detailed feedback on sections, scientific rigor, and writing quality JSON output with actionable recommendations PDF report generation (see below) : ✅ Ready for use In Development Agent2_Outlet_Fit : 🚧 In Development Core functionality being implemented Integration with Agent1_Peer_Review in progress Testing and validation ongoing : 🚧 In Development PDF Report Generation This project includes a PDF report generator that creates a professional peer review report based on the outputs of the review agents. How to Generate the PDF Report Ensure you have the required dependencies installed: reportlab pillow (Other dependencies as listed in requirements.txt) Make sure the following files are present and up to date: executive_summary.json (executive summary and overall scores) (executive summary and overall scores) quality_control_results.json (detailed section, rigor, and writing results) (detailed ...

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Last seen: 2025-06-01 06:30