If a team of human engineers built a web browser that only half-worked, it wouldn't get people talking. But when Michael Truell, CEO of coding startup Cursor, posted on X last week that a swarm of AI agents had built a browser that, he wrote, "kind of works"-while running uninterrupted for a week without any human intervention-it went viral across the tech world, with over six million views.
Hakboian describes a pattern in which specialised agents: one for logs, one for metrics, one for runbooks and so on, are coordinated by a supervisor layer that decides who works on what and in what order. The aim, the author explains, is to reduce the cognitive load on the engineer by proposing hypotheses, drafting queries, and curating relevant context, rather than replacing the human entirely.
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One AI agent manages automated campaign setup, turning a brand's brief into a contextual media plan ready to activate across platforms like YouTube, CTV, TikTok, Meta, and programmatic channels. A second agent ensures ads are delivered in brand-safe and contextually relevant environments. A third agent actively optimises campaigns in real time, adjusting targeting and placements to improve metrics such as engagement, viewability, and conversions. A fourth continuously analyses performance data to generate deeper insights and actionable recommendations.