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How to automate research and monitoring with an AI agent
I looked through 71 real cases about research and monitoring and pulled out what people actually did, the prompts they used and the places it went sideways. No theory, no invented success stories.
What people actually do
- Speed up multifamily deal research and property summaries
- Ask why a plant-breeding workflow failed and get an answer
- Investigate papers overnight
- Research laptops and build a comparison table and deck
- Run web research jobs and capture screenshots into a doc
- Research and buy online
- Grade papers and build lesson plans for teachers
- Draft lesson plans and school paperwork for teachers
Browse all 1081 cases to see the rest.
Prompts to start from
These are the reusable prompts from real cases. Swap in your own details, run it once on something low-stakes, and read what the agent did before you trust it.
Research brief: speed up multifamily deal research and property summaries. Prefer primary sources, include links and confidence notes, and do not contact anyone.
My analytics workflow failed yesterday. Read its logs and status, tell me which step failed and why in plain English, and say what I should change. If you cannot tell, say what extra information you need.
Tools that show up most
Claude Code (16), Custom agent (14), ChatGPT Agent (8), Grok Bot (6), Claude (5), ChatGPT (3).
Guardrails
Start small: run it once on a low-stakes example, read what the agent did, and only then let it run on real work.
Where it went wrong, or nearly did
- Try Devin on research tasks (mostly failed): Devin got stuck parsing HTML on a scraping task.
More mess: the AI agent fails page. Related: the prompt library.