Dev team discovers their AI publish block was an unautomated database query, not a safety rule
A development team spent two weeks assuming their autonomous AI agent lacked the capability to publish articles, only to discover the blocker was a self-imposed human-approval rule they had written themselves. The rule had been introduced after the agent nearly double-posted an article, and it triggered a second time within 24 hours when a browser auto-restore silently pre-filled a form with an already-published piece. Upon closer analysis, the team realized neither incident required human judgment — both were simply checks of whether a given article title already existed in the account. Rather than choosing between full human oversight and unchecked automation, the team reframed the problem: the approval gate was not guarding against ethical or strategic risk, but against a specific, automatable failure mode. They concluded that replacing the human gate with a straightforward API lookup — querying existing published titles before allowing a new post — would address the actual risk without permanently limiting the agent's autonomy.
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