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My agent runs my startup overnight. Last night it fixed two user bugs while I slept.

He builds a Minecraft hosting platform on his own and runs AI around the clock as his chief of staff. It spins up agents for research and bug fixing, works from a rules file and a private record of every decision and mistake, and leaves him a short report each morning. Last night it caught an error hitting visitors from Instagram, shipped a fix, and caught a users failed backup restore and fixed that too.

How it works

  1. Write the rules and decision record the agent must follow
  2. Give each task its own cloud session that opens a pull request
  3. The agent watches analytics and failures overnight
  4. When the rules cover the case it acts: catches a landing page error, ships the fix, catches a failed backup restore and fixes the cause
  5. Anything about money, law or irreversible changes waits for him
  6. A staging run must pass before anything reaches users

Why it’s worth knowing

It does not just write code at night. It decides which problems are safe to fix alone, from a written record of his past corrections.

Where it’s from

Summarized from a public post on reddit.com. See the original ↗

Upgraded prompt

A ready-to-use prompt for this idea, built from research on what makes AI agents do the job right: who the AI should be, the exact steps, and a check to make sure it was done the way you wanted.

1Who the AI should be
2The prompt, with the steps
3The check when it’s done
Upgraded prompts are coming soon.

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