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Five ways his unsupervised agents actually failed at night

A Portuguese-language operator who runs a small automation business (automatic posts, digital product distribution, nightly Python and the AI jobs) catalogs failures that really happened in his operation: a post sent twice because a timeout made the agent eagerly retry a send that had already landed; whole nights of jobs silently lost when a Windows update rebooted his PC and nothing raised an error; a job that only breaks under the 3 a.m. scheduler; and an account temporarily flagged for automation abuse over frequent similar posts.

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How it works

  1. Operation runs scheduled posts, product distribution and nightly jobs
  2. A request times out after succeeding, the agent retries, and the post goes out twice
  3. A Windows update reboots the PC overnight and that night's jobs never run, with no error anywhere
  4. A job that works by hand fails only under the scheduler's environment
  5. Similar posts at short intervals get the account flagged for automation abuse until a review lifts it

Why it’s worth knowing

His core lesson inverts the usual advice: the failures were not bad prompts but missing brakes, so he moved every guardrail out of the prompt and into the code.

Where it’s from

Summarized from a public post on dev.to. 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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