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Teacher agents grade his generated stories for accuracy and the AI fixes the faults

Used nit-picking history-teacher agents to evaluate a few hundred generated stories for accuracy, and pointed the AI at HN comments to aggregate issues and fix them with his OK; reported issues mostly fixed.

How it works

  1. Nit-picking history-teacher agents evaluate a few hundred generated stories for accuracy
  2. The AI aggregates the issues from reader comments
  3. Fixes them with his OK

Why it’s worth knowing

The persona that works here is the strict teacher, not the fan.

Where it’s from

Summarized from a public post on news.ycombinator.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
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