Annotated bibliography on big data
ChatGPT agent: ChatGPT Agent searched academic databases, filtered peer-reviewed open-access papers, and compiled an annotated bibliography on big data in education and healthcare decision-making.
It produced a review-ready draft with citations and a gaps synthesis in under ten minutes, versus half a day by hand.
Overview
How it was set up
ChatGPT Agent run with the /agent command, searching PubMed, ScienceDirect, ResearchGate, Springer, and PMC. Output exported to markdown, then converted to a .docx.
Worth knowing
Sources must be verified, interpretations need human review, and formatting sometimes needs cleanup.
A prompt to start from
/agent Find recent peer-reviewed papers (past five years) on [topic], especially in [field 1] and [field 2]. Compile an annotated bibliography and summarise the key research gaps.
Written by Agentic Feats from the source. Not the author's exact prompt.
Sources 1
History
- Source published
- 2025-07-28
- Added to Agentic Feats
- 2026-10-13
- Pick
- No
- Markdown copy
- /c/annotated-bibliography-on-big-data-chatgpt-agent.md
More in research
36 featsResultIt created the text file as asked, but after clicking a result it took a screenshot too early and hallucinated the answer.
ResultOperator handled tour search and lesson plan but was slow; adding three grocery items took 15 minutes and an Uber price check took five.
ResultThe draft was usable but weaker than accepted NSF summaries; thinking mode helped, though it began hallucinating and misreading the sources.