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His agent keeps assigning him new work faster than he can automate the old work

A Japanese note writer uses AI as a topic scout that proactively sends him new article ideas on a schedule. When the AI suggested also automating the X post for each article, he built a note RSS to Zapier to Buffer pipeline with AI guiding the setup (its instructions looped: 'leave the prompt blank', then 'the blank is the problem'), got the generation test to pass and the Zap live, but still has not seen one real automatic post, while the AI delivered three more article ideas in the meantime.

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

How it works

  1. The AI scouts and sends article topics on its own schedule
  2. Agent suggests automating X announcements too
  3. Owner builds RSS to Zapier to Buffer flow with AI as setup guide
  4. Guidance contradicts itself and loops three times
  5. Alternate input method finally passes the generation test
  6. Zap is published, but no live automatic post has been witnessed yet
  7. The AI delivers three more topics meanwhile

Why it’s worth knowing

The delegation inverted: the agent assigns its owner new topics every two days while the human is still stuck wiring up the automation the agent suggested.

Where it’s from

Summarized from a public post on note.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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