Developer ran 7 AI agents across 10 businesses for 21 days — earned nothing
A solo developer spent 21 days running seven Claude Code AI subagents to autonomously manage ten small businesses through daily automated board meetings. The system produced 16 blog articles, 18 YouTube Shorts, 3 digital products, and 5 freelance proposals, generating 12,124 YouTube views but zero revenue or sales. Three major automation failures went undetected because the system logged success based on process exit codes rather than verifying actual output artifacts. Bugs including a UTF-8 byte-order mark issue, articles saved as drafts instead of published, and an expired OAuth token caused silent failures lasting days. The developer concluded that validating a run by the artifact it produces, not just whether a process exits cleanly, is the key lesson from the experiment.
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