Literature Review Agent
Generate a structured, traceable literature review from a research question using Paperguide’s Literature Review Agent, with clear inputs, workflow, and outputs.
Overview
Literature Review Agent turns a research question into a structured, traceable literature review by planning the process, finding and screening papers, extracting key data, and drafting a report.
Use it when you want a complete, citation-backed overview on a focused topic without manually juggling searches, spreadsheets, and notes.
Literature Review Agent is designed for focused questions or topics, not for extremely broad prompts like "write everything about climate change."
When to use Literature Review Agent
Use the agent when you need:
- A structured literature review report with in-text citations.
- A transparent trail of which papers were considered, included, or excluded and why.
- Screened and filtered papers matching your methodological or quality requirements.
- Extracted data ready for further analysis or export to your own tools.
Typical use cases:
- Planning a thesis or dissertation chapter.
- Writing the related work section of a paper.
- Preparing a grant application with up-to-date evidence.
- Mapping the current state of research on a niche question.
What you can provide as inputs
The agent works best when you are explicit about your question and constraints.
Core research question or topic
Start by entering a clear research question or focused topic, for example:
- "How does daily social media use relate to anxiety, depression, or self-esteem in young adults?"
- "Does personalized learning with AI tools improve student outcomes compared to traditional instruction?"
The agent uses this to design its search and screening plan.
Write your question with population, intervention/exposure, and outcome where possible. For example: "In university students (population), how does sleep duration/quality (exposure) relate to GPA and working memory (outcomes)?"
Requirements and constraints
Optionally add requirements so the agent can screen and prioritize papers that are most relevant to your project. You can specify:
-
Domain or subfield
Examples: "clinical psychology", "urban planning", "computer science education". -
Target journals or venues
Examples: "prioritize journals indexed in Scopus", "focus on journals like Journal of Sleep Research or Sleep Medicine", "conference papers from NeurIPS and ICML only". -
Study type or methods
Examples: "empirical, quantitative studies only", "exclude case reports", "focus on randomized controlled trials". -
Quality indicators such as SJR or SNIP
Examples: "prefer journals with SJR in Q1 or Q2", "prioritize SNIP above 1.0 where available".
The agent uses these requirements during the screening phase to decide which candidate papers to include or exclude and how to rank them.
Choosing sources for your review
Select where the agent should search and which papers it can consider as candidates.
Paperguide research database
Search across Paperguide's public research database of roughly 200M papers to find relevant articles for your question.
PubMed
Focus on biomedical and life sciences literature by restricting candidate papers to PubMed results.
Reference Manager
Use papers you already collected in your Paperguide reference manager as the input set for screening and synthesis.
You can:
- Start from the full Paperguide database (~200M papers) for broad coverage.
- Limit to PubMed when you work in biomedical or health-related fields.
- Use your reference manager when you already curated a set of papers and want the agent to screen and synthesize those specifically.
How the agent works end to end
Literature Review Agent follows a multi-step workflow to keep the review transparent and traceable.
Plan the review
The agent first turns your question and requirements into a step-by-step plan.
It clarifies:
- How to search (keywords, fields, and filters).
- How to apply your domain, journal, and quality constraints.
- How to decide which papers are "in scope" for the final synthesis.
You see this plan so you understand how the agent will approach your question before it starts searching.
Search and build a candidate list
Next, the agent searches the selected source:
- Paperguide database (~200M papers), or
- PubMed, or
- Your reference manager collection.
It compiles a curated candidate list of papers that appear relevant to your question based on titles, abstracts, and metadata.
Screen papers against your requirements
The agent then screens candidate papers for:
- Relevance to your question/topic.
- Alignment with domain or study-type preferences.
- Journal or venue requirements.
- Quality indicators such as SJR or SNIP if you specified them.
For each paper, the agent records screening outcomes including whether it is included or excluded and the reason.
Extract key details from included papers
From papers that pass screening, the agent extracts key data, such as:
- Basic metadata (title, authors, year, journal).
- Research question or aim.
- Methods and sample.
- Main findings and conclusions.
- Any additional fields relevant to your question.
This extracted data forms the structured backbone for your final report and any further analysis.
Synthesize and draft the literature review report
Finally, the agent generates a detailed literature review report using the top 20 related papers that best match your question and requirements.
The report:
- Summarizes and compares findings across included papers.
- Highlights patterns, agreements, and disagreements.
- References each paper with citations so you can trace back every claim.
You can then edit, export, or reuse this report in your own documents.
What you get as outputs
After running the Literature Review Agent, you receive several linked artifacts.
Literature review report
A structured narrative review based on the top 20 related papers, with citations embedded throughout so you can trace every claim back to specific sources.
Candidate and selected papers
A list of all papers considered, clearly distinguishing which were included in the final review and which were excluded.
Screening outcomes
For each paper, you see whether it was included or excluded and the reason, helping you justify selection decisions in methods sections or appendices.
Extracted data
Structured data extracted from the included papers that you can inspect or use as a starting point for further analysis or workbook-based workflows.
These outputs give you both the narrative answer (the report) and the evidence trail (lists, screening outcomes, and extracted data).
Examples: questions and requirements
Use these example prompts and requirements as a starting point for your own projects.
Example research questions
Example topics and questions
- Social media and mental health — How does daily social media use relate to anxiety, depression, or self-esteem in young adults?
- AI in education — Does personalized learning with AI tools improve student outcomes compared to traditional instruction?
- Sleep and academic performance — How does sleep duration/quality predict grades, attention, and memory in students?
- Bias and fairness in AI — Which bias-mitigation methods most effectively reduce unfair outcomes without hurting performance?
- Reproducibility in science — What are the most common causes of failed replication, and which interventions improve reproducibility?
- Urban green spaces and wellbeing — Do nearby parks and green spaces measurably improve mental wellbeing and stress levels in cities?
Example requirements
You can add short requirement notes when you start the agent, such as:
- "Focus on peer-reviewed journal articles from 2015 onwards, prefer journals in SJR Q1 or Q2 within psychology."
- "Include randomized controlled trials only; prioritize studies indexed in PubMed and exclude conference posters or preprints."
Keep requirements concise but specific. For example, "2015–present, RCTs in adults, SJR Q1 and Q2 journals" is more actionable than a long narrative paragraph of preferences.
How this differs from the Literature Review table/workbook
Paperguide offers both the Literature Review Agent and the Literature Review table/workbook feature, and they serve slightly different roles.
-
Literature Review Agent
Automates the end-to-end flow from question and requirements through search, screening, extraction, and synthesis into a ready-made literature review report plus traceable lists and outcomes. -
Literature Review table/workbook (
/literature-review)
Provides a customizable table-based workspace where you manually configure columns, add or import papers, and work through screening and extraction in a spreadsheet-like view.
A common pattern is:
- Use Literature Review Agent to quickly generate an initial review and structured outputs.
- Move into the Literature Review table/workbook to refine screening decisions, customize columns, or add more detailed extraction for specific subsets of papers.
If you want hands-on control of every column and row, start or continue in the Literature Review feature. If you want a guided, automated path to a narrative review, start with the Literature Review Agent.
Last updated 3 weeks ago
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