Alchemist Review is Hum’s AI-powered editorial intelligence platform designed to streamline the peer review process for scholarly journals. It automates screening, summarizes complex manuscripts, and highlights issues that require editorial attention — enabling editors and staff to focus on decision-making, not data wrangling.

Developed specifically for scholarly publishing, Alchemist Review consolidates everything an editor needs — manuscript content, AI analysis, and reference validation — into one intuitive dashboard.

Who It’s For

Alchemist Review is built for:

  • Editorial teams managing high submission volumes.

  • Editors-in-Chief and Associate Editors who need rapid, data-driven manuscript insights.

  • Journal operations and integrity staff seeking automated checks for retractions, citation quality, and paper-mill indicators.

What It Does

Alchemist Review processes every incoming manuscript to generate a structured Manuscript Digest and Citation Evaluation.
 Key capabilities include:

  • AI Chat Assistant — ask contextual questions about any manuscript; responses draw from both the paper itself and external scholarly databases via Open Scholar.

  • Digest Summaries — instantly view general and advanced summaries, methods, key issues, and author contributions.

  • Citation Analysis — verify reference validity, detect retractions, assess relevance, and flag anomalies.

  • Representation & Recency Checks — analyze self-citations, journal diversity, and reference age distribution.

  • Feedback System — rate AI-generated content inline to continuously improve model accuracy.

Why It Matters

Traditional editorial review requires staff to toggle between multiple systems — submission portals, citation tools, PDF viewers, and plagiarism checkers.
 Alchemist Review centralizes this information, reducing manual effort and helping editorial teams:

  • Improve screening accuracy and consistency.

  • Identify integrity risks early, such as retracted papers or citation rings.

  • Speed up decision-making by surfacing key issues automatically.

  • Enable non-subject-matter staff to support editors effectively through AI-assisted analysis.

Key Features at a Glance

Feature Description
Manuscript Digest Consolidated AI summary of each manuscript with structured sections for easy navigation.
Citation Evaluation Automated DOI, relevance, and retraction checks with severity filters.
AI Chat Contextual Q&A interface trained on scholarly content (via Open Scholar) with per-manuscript chat history.
Inline Feedback Quick thumbs-up/down ratings for continuous improvement.