What Elicit Actually Does
Elicit is the AI tool I recommend for literature review — not ChatGPT, not Perplexity. The reason: Elicit is purpose-built for academic papers and actually retrieves real papers from Semantic Scholar, not hallucinated citations.
Core capabilities:
- Search by research question — type a question; Elicit finds papers where the abstract suggests an answer
- Auto-summary — extracts key findings, methodology, and limitations from each abstract
- Data extraction — pulls structured data from a set of papers (e.g., sample size, outcome, dataset used)
- Reference export — export to BibTeX or Zotero in one click
When to Use Elicit vs Google Scholar
Use Elicit when you have a research question and want to quickly scan what has been said about it. It works best at the start of a literature review when you don’t yet know which papers exist.
Use Google Scholar when you know an author, paper title, or specific keyword and want precise search.
AI Agents in Research Workflows
The first related video explains how multi-agent AI pipelines work — relevant because researchers are increasingly using agent frameworks (AutoGen, CrewAI) to automate literature review, data extraction, and report generation.
The second video explains tool calling — the mechanism that lets AI assistants interact with real tools (search engines, databases, code interpreters). Understanding this helps you evaluate which AI tools are genuinely useful and which are just wrappers.
The Responsible Use Rule
AI research assistants surface papers faster than manual search. They do not evaluate quality, assess reproducibility, or understand context the way you do. The AI finds — you judge. Never cite a paper you haven’t read.