Produce cited research briefs with simulated peer review
Feynman multi-agent system searches papers and the web, synthesizes findings, runs simulated peer review, verifies citations, and outputs a cited brief.
Digging through books, papers, and data, and keeping what you learn organized.
89 use cases
Feynman multi-agent system searches papers and the web, synthesizes findings, runs simulated peer review, verifies citations, and outputs a cited brief.
SciSpace's agent generates PICO questions, searches and screens papers, downloads PDFs, extracts data and outputs the full review with a PRISMA diagram.
Commenters use Cowork daily to scan Reddit tech subreddits for work items, monitor competitors and markets, generate articles and draft emails.
Author used ChatGPT to summarize and structure a thesis literature review, and tried a tool that builds summaries from real papers to avoid invented citations.
Poster recommends a research-focused tool that does systematic review (slow but strong), adds notes to papers, and builds a research project over time.
Author used ChatGPT Deep Research and Agent Mode for research help and writing assistance while writing an academic social science paper.
An n8n Telegram agent reads links sent to it, summarises and categorises them into Google Sheets, and answers questions from the library using Supabase semantic search.
An n8n workflow turns a topic into up to three Tavily searches, compiles a Markdown report with an agent, and pushes it to a Notion page.
Claude Code browses a personal library with CLI tools and surfaces trails of related excerpts across books.
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.
A Lindy agent searches Reddit for conversations about new AI tools, compiles popular topics and updates a document daily.
An n8n workflow fetches arXiv papers daily for a keyword, summarizes them with Gemini 2.5 Flash, writes them to Notion and sends Feishu and Gmail notifications.
Claude Code writes the SQL and vector queries against a public read-only index, and can set email alerts for nuanced criteria.
LangAlpha is a Claude Code-style agent for investing research that keeps persistent workspaces and memory so analysis such as models and comps can be updated across sessions.
User points Codex at the Logseq CLI docs so it can query and summarize journals and tagged job-application and project pages.
After the RAG indexer crashed on an uploaded book, Claude used Unix commands to work out the file format and grep the book manually.
ChatGPT Agent mode researched the top 5 UK coffee subscription companies, benchmarked their USPs, and produced a deck and spreadsheet from one prompt in 18 minutes.
A reporter tested Manus on building a reporter list, searching NYC rentals and finding award candidates; results were thin at first, and a three-hour search yielded only three full profiles.