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An agent wrote my blog for six months. I fixed its work 67 times.

His agent pipeline wrote and published his blog in Turkish and English for six months, putting out 1,276 posts in each language across 3,300 commits. Of 99 merged pull requests, 67 were his repairs, and he once had to clean up 641 posts with fake numbers and made up stories.

This only partly worked. Read what happened before you try it.

How it works

  1. The agent picks topics from a content calendar
  2. Writes posts and covers in Turkish and English
  3. Checks run before publishing
  4. Posts go live and into a social sharing queue
  5. He reviews the output and repairs what breaks, 67 fixes out of 99 pull requests

Why it’s worth knowing

The writing was rarely the problem. Most of his 67 repairs were the machinery around it: queues, locks, schedules and dead model names.

Where it’s from

Summarized from a public post on mustafaerbay.com.tr. 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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