AI peer review — editor-ready feedback before you submit

What 'AI peer review' actually means here

AI peer review is an automated first-pass referee report: software reads your full manuscript and returns the same kind of structured, criterion-by-criterion feedback a journal reviewer would — methodology, originality, literature coverage, clarity — before you submit anywhere. It complements human peer review; it does not replace it.

Most 'AI peer review' tools wrap a single LLM prompt. Ours decomposes the review into eight specialist agents — Methodology, Formulas & Equations, Originality, Literature Coverage, Reproducibility, Clarity & Language, Figures & Tables, Prior Publication — each with its own prompt calibrated against published rubrics (CONSORT, STROBE, PRISMA, field-specific style guides).

Each agent's prompt is seeded at inference time with 8–40 real peer reviews from our training corpus via FTS5 retrieval. That's the calibration step most tools skip: the model doesn't just know 'what a review looks like' in the abstract; it's shown concrete, field-matched examples of good reviews every time it runs.

How the review runs

Submit a PDF or paste a DOI / arXiv ID. The engine fans out in parallel:

• A 12-second prior-publication check across CrossRef, PubMed, Europe PMC, Unpaywall, arXiv, medRxiv and bioRxiv, plus a 4.4-million-paper institutional library.
• The 8 specialist agents run sequentially against our trained rubric.
• A synthesis step integrates the specialist reports into a single structured review with an overall score.
• Output is delivered as a readable report and a machine-readable JSON object (for integration into CI or writing tools).

When to use it

The tool is most useful in three situations:

• Pre-submission triage — 15 minutes before you send a draft to a closed journal or conference.
• Revision planning — after you get a R&R from a journal, re-run to see what the 'second reviewer' would flag.
• Self-training — PhD students and early-career researchers use it to internalise what referees look for in their field.

Pricing

Pay-as-you-go credits — you pay per run, not per seat, and there is no subscription. Creating an account is free and comes with 25 credits to start. Pre-submission scoring (Tier 1-5) costs 15 credits — enough for the 'should I keep polishing or submit now?' call. The full 8-agent report with per-section feedback, prior-publication evidence, and the JSON export costs 30 credits.

Credits are bought in one-time packs (with regional pricing) and never expire — no recurring charge, and a full review costs less than a conference registration.

Frequently asked questions

Related tools

• Research Gap Finder — start earlier in the pipeline — find an open, citable research gap before you write the paper.
• Journal Finder — match your reviewed paper to the right venue — ranked shortlist with predatory-journal flags.
• How long does peer review take? — the real timelines at traditional journals, field by field — and what a 15-minute first pass changes.