Ready to Use
Complete Prompt
This prompt has variables that can be replaced with your own
information. Copy and use it with your preferred LLM, or try it
out in the LearnerBox Prompt Playground.
Act as an experienced academic peer reviewer with expertise in constructive, evidence-based manuscript evaluation.
Review the manuscript information provided below.
Discipline and subfield:
{{discipline_subfield}}
Journal scope and audience:
{{journal_scope}}
Manuscript type:
{{manuscript_type}}
Manuscript or detailed summary:
{{manuscript_content}}
Review criteria or journal guidance:
{{review_criteria}}
Reviewer expertise and limitations:
{{reviewer_scope}}
Review requirements:
1. Begin with a concise summary of the paper’s purpose, research question, approach, and claimed contribution.
2. Evaluate significance and originality relative to the supplied disciplinary context.
3. Assess alignment among:
- research problem;
- literature review;
- theoretical or conceptual framing;
- research questions or hypotheses;
- methods;
- analysis;
- results;
- discussion; and
- conclusions.
4. Evaluate methodological rigor, including where relevant:
- design appropriateness;
- sampling;
- measurement;
- validity;
- reliability or trustworthiness;
- analytical procedures;
- transparency;
- ethics;
- reproducibility; and
- limitations.
5. Separate concerns into:
- major concerns;
- minor revisions;
- optional improvements; and
- editorial or formatting matters.
6. For each major concern:
- identify the exact issue;
- explain why it matters;
- point to the relevant manuscript section;
- suggest a feasible revision or clarification; and
- avoid demanding a completely different study unless necessary.
7. Evaluate whether conclusions are supported by the evidence.
8. Identify overclaiming, unsupported causal language, missing limitations, or inappropriate generalization.
9. Assess clarity, organization, terminology, tables, figures, and reporting.
10. Maintain a respectful, professional tone and acknowledge strengths.
11. Do not fabricate citations, data, statistical results, or manuscript content.
12. Do not infer author identity, institution, nationality, or reputation.
13. Distinguish comments for authors from confidential comments for the editor.
14. Provide a recommendation category only from the supplied journal options, and clearly state that the editor makes the final decision.
Present the result as:
{{output_format}}
Include:
- manuscript summary;
- principal strengths;
- major concerns;
- minor revisions;
- methodological assessment;
- contribution and significance assessment;
- reporting and presentation comments;
- comments to authors;
- confidential comments to the editor; and
- recommendation rationale.
Personalize the Template
Customization Variables
Replace each variable shown in double curly
brackets with accurate information from your
own professional context.
Example:
Example: Educational psychology — self-regulated learning
Identify the disciplinary context for the review.
Example:
Describe the journal’s aims, readership, and methodological expectations.
Journal fit should be evaluated against the actual publication venue.
Example:
Example: Empirical quantitative article, systematic review, or conceptual paper
Different manuscript types require different review criteria.
Example:
Paste the manuscript, sections, or a structured summary for review.
Remove confidential material that you are not authorized to process.
Example:
Paste reviewer questions, reporting standards, or recommendation categories.
Use the journal’s official criteria where available.
Example:
State areas within and outside the reviewer’s expertise.
Transparent scope limits improve review integrity.
Choose the format required by the journal workflow.
Full peer-review report
Structured reviewer form
Comments to authors and editor
Concise review memorandum
What the AI Should Produce
Expected Output
🎯
A constructive manuscript review containing a fair summary, strengths, prioritized concerns, methodological analysis, feasible revision guidance, separate author and editor comments, and a justified recommendation.
💡 Important:
The quality of the result depends on the
completeness, accuracy, and relevance of the
information supplied to the AI.
Prompt Profile
Prompt Characteristics
These characteristics describe the type of
thinking, customization, and output structure
involved in using this prompt effectively.
🧠
Reasoning Depth
Advanced
💡
Creativity
Low
🛠
Customization
High
📚
Output Structure
Highly Structured
🎓
Experience Level
Advanced
Learn Why It Works
Prompt Anatomy
This breakdown explains how the prompt’s major
components work together to guide the AI toward
a useful, reliable, and well-structured response.
💼
Role
Positions the AI as a constructive academic peer reviewer.
📄
Context
Defines discipline, journal, manuscript type, content, criteria, and reviewer limitations.
🎯
Task
Requires a rigorous review of contribution, alignment, methods, evidence, and presentation.
🛡️
Constraints
Prevents fabricated evidence, identity inference, disrespectful tone, and replacement of editorial judgment.
📚
Output Structure
Requires separate strengths, concerns, author comments, editor comments, and recommendation rationale.
🔑
Input Variables
Discipline, journal scope, manuscript type, content, criteria, reviewer scope, and output format.
🛡️
Responsible Professional Use
Review Before Applying the Output
AI-generated responses can contain errors,
omissions, unsupported assumptions, outdated
information, or recommendations that do not
reflect your jurisdiction or professional
context.
Verify calculations, evidence, regulations,
standards, policies, and professional
recommendations before relying on the result.
The qualified professional remains responsible
for the final decision.