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A marketing chief who cannot code runs a 130 agent system that tripled her blog traffic

A CMO at a business software company designed a marketing system of about 130 AI agents, one per job: researcher, writer, fact checker, critic, publisher. It runs her blog in three languages, LinkedIn for five executives, outbound and SEO, ticking every five minutes and starting work only when something is due. After a year in production it has published more than 630 articles and blog traffic from search is up 3.9 times. Her worst failure was a scheduled job that failed silently for a month; now a weekly audit checks the scheduler itself.

How it works

  1. Split work into one agent per job
  2. Separate fact checker traces every number to a source
  3. Hooks block out of process actions
  4. Scheduler ticks every five minutes
  5. Weekly audit of the scheduler after a silent month long failure

Why it’s worth knowing

The design rule is simple and strict: the checker is never the writer, and every incident becomes a dated rule the agents read first.

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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Every idea is a real post from someone who tried it, summarized in our words, with a link to the original. App names are swapped for plain words.