Two years ago, Rechavi pondered if there was a way to reimagine peer review and scientific publishing with artificial intelligence (AI). His idea? To build a powerful AI reviewer that provides users with constructive feedback. Together, he and a team of scientists from various backgrounds including AI, engineering, and biology created q.e.d. Its name is derived from quod erat demonstrandom, a Latin phrase meaning “which was to be demonstrated,” which is typically signed at the end of mathematical proofs and philosophical arguments. Though not a peer, q.e.d is an online tool that aims to help scientists improve their research before submission.
With q.e.d, users simply upload their manuscript or even an early draft to q.e.d’s website. Within 30 minutes, they receive a report that breaks the research down into what Rechavi described as a “claim tree.” The AI identifies the claims made within the work, examines the logical connections between them, pinpoints strengths and weaknesses, and suggests both experimental and textual edits.
Notes & quotes
Enabling options for review: from training and transparency to author-centered AI tools
https://www.nature.com/articles/d41586-025-03909-5
Publisher / company: QEDScience.com
Date of case study: 08/12/2025
Source: https://www.qedscience.com/