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AI agent use cases for Research & Knowledge

Digging through books, papers, and data, and keeping what you learn organized. 57 real use cases. 49 were done with 17 named agents, most often Claude Code and ChatGPT Agent; 8 with custom-built, lesser-known or unnamed ones. Each links to its source and comes with a prompt to try.

57 use cases · 17 named agents · Updated Oct 5, 2026

All 57 Research & Knowledge use cases

  • Find connections across 100 non-fiction books

    Claude Code browses a personal library with CLI tools and surfaces trails of related excerpts across books.

    How it went The site shows dozens of trails, such as Useful Lies, Pacemaker Principle and Proxy Trap. Each one links five books that would not normally be read together. The page doesn't say how the trails were checked.

    2 accounts

  • Research and benchmark competitors into a deck and spreadsheet

    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.

    How it went The run took 18 minutes and returned a PDF deck and a spreadsheet. The author calls them good initial information, not finished work, and says follow-up prompts can build on them.

    2 accounts

  • Research on X, summarize YouTube transcripts, build decks

    @Tape_Vector uses Comet for X research, summarizing YouTube video transcripts and building presentations.

    How it went Comet delivered reliable X research and YouTube summaries that the user incorporated into decks. No quantitative results or shortfalls are stated.

  • Catalog and summarize papers dropped into Drive

    An n8n workflow extracts metadata from new PDFs, finds related papers on Semantic Scholar and PubMed, builds an APA citation, logs to Sheets and creates a Notion summary.

    How it went Each paper takes about 20-30 seconds. The author reports about 98% metadata accuracy on digital PDFs, about 90% on study type, and about 85% on scanned papers. Niche topics may return only 3-5 related papers.

  • 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.

    How it went She says it saves hours each week and keeps the vault better organized. The source gives no measured results. She reviews every suggestion and keeps final say on changes.

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