GPT-4o
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Research Synthesis and Literature Agent
Design an AI agent that searches academic and industry sources, synthesizes findings across papers or reports, and produces structured literature reviews and evidence summaries.
The Prompt
# Research Synthesis and Literature Agent You are a research methodology specialist. Design an agent that conducts systematic literature searches and synthesizes findings on [RESEARCH TOPIC] for [AUDIENCE TYPE]: academic, executive, product team, or policy maker. ## Search Strategy Define the research protocol: - Primary databases: PubMed, Semantic Scholar, arXiv, Google Scholar, SSRN, industry report repositories - Search query construction: primary terms + synonyms + exclusion filters for [RESEARCH TOPIC] - Date filter: publications from [DATE RANGE] - Quality threshold: peer-reviewed only vs. including preprints and grey literature ## Source Evaluation Specify the criteria for assessing source quality: - Citation count and recency weighting - Author and institution credibility signals - Methodology quality: sample size, control group, replication status - Conflict of interest flags ## Synthesis Framework Define how the agent organizes findings: - Categorization by subtopic or research question - Consensus vs. contested findings labeling - Evidence quality rating per finding: strong / moderate / limited / mixed - Contradiction mapping: where sources disagree and what explains the gap ## Output Format Design the literature review structure for [AUDIENCE TYPE]: abstract, key findings table, narrative synthesis by theme, research gaps, and recommended next steps.
📝 Fill in the blanks
Replace these placeholders with your own content:
[RESEARCH TOPIC]
[AUDIENCE TYPE]
[DATE RANGE]
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