Real AI agent use cases, with sources and setup prompts

How to use AI agents for research and science

Literature reviews, math runs, simulations and paper tracking people handed to AI agents, each linked to the original post. 17 matching use cases below, each with a public source.

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Get started in 3 steps

  1. Give the agent your sources (papers, data, notes) and ask for citations to exact passages so every claim can be checked.
  2. Check results with a second model, a known benchmark or a hand calculation before you trust them, especially for simulations and long autonomous runs.
  3. Add a citation checker or research skill so the agent cannot invent references.

Common questions

Which AI tools do people use to use AI agents for research and science?
Across the 17 sourced use cases in this guide, the most used tools are Claude Code, OpenAI Codex, Claude, Cursor, Gemini CLI.
How much does it cost to get started?
3 of the 17 use cases can start on a free plan. The most common paid starting price is $17/mo (8 use cases). Prices come from each tool's official pricing page.
How long does setup take?
7 of the 17 use cases list a setup time of an hour or less. Each card shows the setup time the builder reported.
Are these real examples?
Yes. Every use case links to its public source (an X post, a Hacker News thread or a GitHub repo) with the author and date, so you can check it yourself.

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