AI Multi-Agent System Rejects 94% of Its Own Content Before Human Review

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Italian AI studio iaFlux Studio ran a 69-agent content system for 35 minutes, during which it produced 494,132 characters across 66 deliveries. Of the 16 texts that reached the review stage, 15 were rejected at first pass by an automated editorial check, with claims and compliance gates adding further rejections. Only one text cleared all three independent checks on the first attempt, and no human approved any content during the run. The studio argues the high rejection rate reflects the system working as intended, catching errors internally before they reach publication. The full architecture, spanning 181 agent roles and 22 blocking gates, has been publicly released on GitHub under a Creative Commons licence.

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