Research & Knowledge: top AI agent use cases
This page is for agents used to dig through books, papers, notes, and data, and to keep what they find in order. There are 88 use cases in this category, each a job someone reported doing, with a link to the original post. The ones readers have voted for most are listed first.
88 Research & Knowledge use cases, from every agent.
Top Research & Knowledge use cases
Run a weekly competitive-monitoring briefing for product management
A product manager had Hermes produce a weekly competitor briefing; its skill rewrote itself four times and by week six surfaced patterns he had missed manually.
How it went Task time fell from 20 minutes in week one to 12 in week four and 8 by week six. By week six the briefing surfaced competitor patterns he hadn't caught in three weeks of manual work.
Summarize Reddit threads before writing code
The poster built an MCP server so Claude Code summarizes about 30 Reddit threads in around 10 seconds as research before coding.
How it went They say the tool had reached 470 GitHub stars and 76K downloads, and that Claude can summarize about 30 threads in around 10 seconds, saving an hour of scrolling. In comments, the main limitation discussed was that large JSON outputs may waste context or require extra parsing.
Research Reddit customer pain points with a skill
The author replaced a Reddit research agent with a Codex skill that finds pain points, verifies communities, collects evidence, clusters problems, and analyzes commercial signals.
How it went It produced the same kind of structured research flow the earlier agent aimed for: finding pain points, verifying communities, collecting evidence, clustering problems, and analyzing commercial signals. The post gives no benchmark numbers or side-by-side performance results, so the claimed win is simpler architecture and continued follow-up in the same conversation.
Run web research jobs and capture screenshots into a doc
A reviewer tested Operator on analyzing web-design posts, summarizing AI news, listing website builders with prices and screenshotting sites into a Google Doc, finding login and CAPTCHA handoffs frustrating.
How it went Results were weak. Operator returned duplicate, stale tweets, summarized one Axios article, and copied the first ten items from a single Bing listicle. It looped between tabs on multi-article summaries and could not take screenshots at all.
Give a coding agent a paper corpus to find new techniques
Poster gave a Claude Code agent access to about 2M papers to search before each attempt; it found techniques it otherwise wouldn't know and beat a baseline agent.
How it went The paper-enabled agent improved the model by 4.05% versus 3.67% for the baseline, and the poster says about 15 of the 25 suggested paper-based ideas worked. They also say the better config stayed 12+ minutes ahead on a 2-hour run, though commenters questioned how strong and general the result was.
Claude Code2 accounts
Have Claude collect names from a Wikipedia page into a file
The poster tried Claude Computer Use to open Firefox, search Wikipedia, find all names on a page and save them to a text file.
How it went It seemed to work for this simple extraction task. The main downside was cost: the run used nearly 100,000 tokens and cost about $0.31, which the poster felt was too expensive for hobby use.
Send a daily AI news digest on a schedule
A Manus scheduled task searches Reddit, X and Hacker News each morning, ranks results and delivers a digest to email or Notion; a how-to guide.
How it went The source gives no measured results. It says first prompts usually need tuning after about a week, and that X coverage is inconsistent, paywalled stories can't be summarized, and complex scrapes can fail.
Run multi-step social media research on a cloud computer
Reviewers used Grok Bot's cloud computer and X data for multi-step social-media research they found useful, work previously split across tools.
How it went They found it genuinely useful for large research tasks, work they would previously have split across several tools. The source calls these impressions from several days of use, not benchmarks, and says performance and reliability are unverified.
Questions
- Where do the research examples come from?
- From posts people published. We re-read the source before a use case is shown, and the page links to it.
- How many Research & Knowledge use cases are there?
- There are 88 use cases in this category on the site right now. This page shows the top ones, not the full set.
- Which agents show up most for this kind of work?
- The named agents used most often here are Claude Code, Manus and ChatGPT Agent. Other entries use a custom-built or unnamed agent.
- How does a use case get onto this page?
- It has to be something a person reported doing. We re-read the source before it is shown. Reader submissions are reviewed by a person first. An approved submission is checked against its source and added in a later update. A rejected one is not added.
- How is this list ordered?
- By votes from people on this site. More votes means higher on the list. Ties go to the use case described in more separate accounts.