Academic referee simulation · Test release
Simulated Peer Review
Constructive AI feedback to help authors make their papers clearer, better supported, and more robust under criticism—not a pass/fail grade.
The report identifies strengths, tests reasoning and evidence, flags gaps or ambiguities, and suggests proportionate repairs. It places its emphasis on the philosophy of mind, language, perception, and knowledge, and on artificial intelligence, but papers, essays, and informal drafts across subjects are welcome and held to the same standards. This service is not affiliated with or endorsed by an academic journal.
The review aims to assess arguments impartially: it examines the thesis, distinctions, inferences, supporting evidence, and serious objections rather than rewarding agreement with a particular philosophical position.
Each report applies nine basic checks:
- Factual accuracy — are empirical and historical claims supported?
- Citation accuracy and hygiene — do the citations fit the claims they are meant to support?
- Logical structure — does the conclusion actually follow from the premises?
- Misattribution — are other thinkers’ positions represented fairly?
- Unargued assumptions — are load-bearing premises defended or at least flagged?
- Equivocation — does a key term shift its meaning mid-argument?
- Missing literature — are the obvious opposing views and relevant work engaged?
- Scope discipline — does the paper deliver what it promises, and no more?
- Scholarly apparatus — are references, notes, and definitions adequate to the claims?
The instructions were calibrated by testing them on established philosophical papers and revising them in light of published guidance for journal referees. Calibration changed the instructions; the underlying AI model was not retrained. The service remains experimental.
The report includes a summary, a simulated ACCEPT, REVISE, or REJECT recommendation, blocking issues, major revisions, and minor issues, strengths, and an account of what was and was not checked. These are advisory simulated recommendations, not grades, certificates of truth, or actual publication decisions. This is an argument-and-scholarship review, not a copyediting service.
This is AI-generated feedback, not review by human scholars. It can be mistaken or biased and does not independently verify external sources or citations. You can see the prompt here. Its findings are arguments to weigh, not rulings to accept; you remain the judge of what to revise.
Reference-paper assessments show how the same scholarly rubric was applied to a growing collection of established philosophical papers and other reviewed submissions. They illustrate the kinds of strengths and revision needs a report can identify—not pass/fail benchmarks, grades, or rankings. Even influential papers can receive substantial criticism. These assessments used the internal subscription model route; this public service uses OpenRouter. Both provide manuscript-only assessments without independent external source verification. The comparison page records the reviewed versions and limitations.
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A simulated referee's report
Your simulated peer review
AI-generated feedback can be mistaken or biased. External facts and citations have not been independently verified.
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