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An AI routine runs his company's X account, and the posts are landing flat

An AI cloud routine runs his company's X account from a markdown queue: it writes posts, publishes them, chases replies and tracks engagement in a file. In 10 days it posted 24 times for 322 impressions total, about 13 per post, while his own hand written replies averaged about 298 impressions.

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

How it works

  1. The routine reads the queue
  2. It writes the day's post
  3. It publishes and watches replies
  4. It logs impressions in a file
  5. After 10 days: 24 posts, 322 impressions, 1 like, 2 replies

Why it’s worth knowing

He published the comparison himself: the agent posts on schedule and nobody reads it, while his own replies do 20 times better.

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
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