Build data pipelines and analysis for a research paper
A researcher used Claude Code as the main agent to build data pipelines and do the data analysis for a paper, generating over 98% of the code.
Digging through books, papers, and data, and keeping what you learn organized.
89 use cases
A researcher used Claude Code as the main agent to build data pipelines and do the data analysis for a paper, generating over 98% of the code.
Jeff Adams used the Claude Chrome extension to collect meeting minutes into text files and load them into a notebook, taking 3-4 hours over three sessions.
Claude in Chrome runs weekly to scrape Substack ranking data into a dataset, and Cowork analyzes it and writes a weekly report.
The author used Claude computer use with Claude in Chrome to research the post itself, suggesting starting with a logged-in site and a specific lookup.
The reviewer had ChatGPT Agent research budget laptops over about 30 minutes; research was decent but the deck looked cheap. It also built a multi-tab Excel file.
ChatGPT Agent searched academic databases for recent open-access empirical papers, grouped them by field, wrote an annotated bibliography, noted research gaps and assembled a draft.
Testers had ChatGPT Agent navigate the WHO site, extract the latest data and organise it by indicator, country and trend; it often fails on logins or dynamic pages.
A commenter had ChatGPT build a spreadsheet for her genealogy research, and agent mode was recommended for compiling and formatting findings into a usable document.
A team had Agent Mode research case studies from McKinsey, PwC and similar firms and make a slide deck in 32 minutes, with some image and overlapping text issues.
A writer had Operator gather financial data for independent schools in the background; it was slow and was stopped after about 25 schools, then the data went to o1 for analysis.
An OpenClaw agent runs a YouTube summariser and a paper-condensing tool, saving Markdown into two indexed knowledge bases for videos and papers.
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.
A researcher uses Claude to search Google Scholar, follow citations, query a Zotero library in natural language, and write summary notes into Zotero or Obsidian.
The author uses Claude Code in their Obsidian vault to add backlinks and entity notes to journal entries and to turn brain dumps into formatted book reviews.
Claude Code, guided by a CLAUDE.md, searches research papers, scans and PDFs via Spotlight, extracts text, and files daily notes in dated folders.
The author uses Claude Code with NotebookLM and Obsidian to turn 20 videos into cited notes, audio overviews, a knowledge graph and flashcards.
Claude Code is pointed at transcripts and PDFs to produce theme summaries, evidence tables and annotated bibliographies; a UX researcher runs 50-transcript studies this way.
A weekly Codex automation searches arXiv for keywords, logs new papers to a CSV, sorts them into keep/skim/drop buckets and can check claims against Zotero.