Use ChatGPT Agent to assemble a research bibliography
A writer had ChatGPT Agent gather recent open-access studies, sort them by subject, and produce an annotated bibliography with a draft paper.
- What they did
- The writer gave ChatGPT Agent one /agent instruction to find peer-reviewed, empirical, open-access studies published in the last five years about Big Data and Analytics for decision-making, with attention to Education and Healthcare. The agent repeated the assignment, looked through PubMed, ScienceDirect, Springer, PMC, and ResearchGate, and filtered out anything that was not empirical or open access. It then produced APA-formatted annotations, highlighted research gaps, and exported a markdown draft that the writer later converted into a .docx file.
- How it went
- The job finished in under ten minutes, where the same work usually takes about half a day, and the output was ready for review. The writer still had to check the sources, review the interpretations, and tidy the formatting before using it.
- Tips
- Use this kind of workflow when you need a fast first pass on literature collection and synthesis. Keep a human in the loop to confirm each citation, summary, and claim before sharing it in a proposal or handout.
Try it yourself with ChatGPT Agent
Search for recent peer-reviewed, open-access empirical studies published within the last [5 years] on [topic], with special attention to [field 1] and [field 2]. Look across [database list], keep only studies that are empirical and open access, and group the results by field. For each source, write a short APA-style annotation covering the main finding, relevance to the topic, and any research gap it suggests. Then outline a concise literature review based on those grouped studies. Before taking any irreversible step, stop and ask me to approve the selected sources, the structure, and the direction. After I approve, create the draft in [format] and keep the references separate so I can verify them.
Fill in the [brackets]. Agents can make mistakes, so review anything before it is sent, paid or deleted.
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