Run systematic literature reviews with a research agent
Poster recommends a research-focused tool that does systematic review (slow but strong), adds notes to papers, and builds a research project over time.
Done with a custom-built or unnamed agent
- What they did
- In the Reddit thread, the concrete recommendation for this use case is Elicit’s paid systematic review mode. One commenter says it is “one of the best” but slow; another later suggests pmchat.app because its assistants search PubMed, add finding notes to papers, save papers to a library, and organize them in folders so a research project persists instead of resetting with each chat.
- How it went
- The thread gives no benchmark numbers or study results. The main tradeoff stated is that Elicit’s free report is only so-so, while the paid systematic review workflow is stronger but slow.
- Worth knowing
- The clearest catch is speed: the commenter says the paid systematic review mode is among the best, but slow.
Try it yourself with Manus
I need a systematic literature review on [research question]. Search academic sources, define inclusion and exclusion criteria with me first, then screen papers and build a table of each study's authors, year, method, sample and findings. Finish with a short synthesis and a list of full citations with links, and flag any paper you could not verify.
Source: Reddit · Aug 1, 2025
Five of these in your inbox every morning
The best things people got an AI agent to do, each with the prompt to try it.
More like this
Find connections across 100 non-fiction books
Claude Code browses a personal library with CLI tools and surfaces trails of related excerpts across books.
Scrape weekly Substack rankings and write a report
Claude in Chrome runs weekly to scrape Substack ranking data into a dataset, and Cowork analyzes it and writes a weekly report.
Summarize 20 articles into a cited document
An agent extracted key insights from 20 articles, found common themes and produced a cited summary; the write-up estimates 18 minutes versus hours by hand.
Research conference speakers and organize tabs
Comet researched 50 HumanX speakers, surfaced themes and podcast guests, built a camera spec table, and cleaned up tabs.
Let Cursor maintain an Obsidian notes vault
Cursor reviews vault structure, suggests connections, answers questions about notes and writes a daily done note documenting other agent sessions.
Research content from Slack and draft Notion guide ideas
A team DM'd Lindy in Slack to summarize a year of guides and research a model, and it created a Notion guide idea after asking for approval.