auto-review-loop

Autonomous multi-round manuscript review applies iterative critique, fixes, and re-evaluation across multiple rounds until a positive assessment or maximum rounds are reached. It uses a fixed reviewer model to extract weaknesses and actionable fixes.

An autonomous review loop is a phase-based process that automatically extracts weaknesses from scholarly manuscripts, applies fixes, and re-evaluates the content. It iterates until the review passes or hits a maximum round limit.

Iterative review state persistence saves progress to REVIEW_STATE.json, allowing the autonomous review loop to resume after interruptions. Round logs are also recorded in AUTO_REVIEW.md for tracking.

Codex MCP supports phase-based automatic review for technical reports and scholarly manuscripts. It pairs with a fixed reviewer model to autonomously extract weaknesses, apply actionable fixes, and re-evaluate content.

Autonomous multi-round manuscript review stops when a positive assessment is reached or the maximum rounds limit is hit. It relies on a fixed reviewer model and targets scholarly manuscripts and technical reports specifically.

Start an autonomous review loop on your current project to iterate multi-round reviews automatically. The process applies fixes and re-reviews until the assessment passes or maximum rounds are reached.