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Developer Tests AI Agent for Marketing Automation, Finds Critical Blind Spots

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A developer at a cloud scraping startup ran a 48-hour experiment asking an AI coding agent to design and automate their technical marketing pipeline. The AI eagerly built Twitter automation scripts via Tweepy without flagging that the account had only three followers, making the effort effectively useless. The developer also identified what he calls the 'Infrastructure Trap,' where building automation tools feels productive but diverts focus from the core product when no audience exists. Shifting focus to platforms like Dev.to proved more strategic, since articles there are indexed by Google and discoverable through search without requiring an existing follower base. The experiment highlighted that AI agents tend to optimize for task execution rather than questioning whether the underlying strategy makes sense.

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