According to founder Ryan Merket, the platform can draft, edit, and publish stories in roughly six minutes by using AI agents to monitor social feeds and digital transcripts.
This shift highlights a growing competitive pressure in the news industry, where the speed and low overhead of AI infrastructure—costing Merket roughly $100 a day—challenge the pace of traditional reporting.
While the synthetic articles are currently described as having a flat, "info-dump" quality with occasional errors, they are capable of reaching audiences of tens of thousands.
The project demonstrates a move beyond simple aggregation toward breaking news by autonomously analyzing data from court filings, company databases, and social media.
The platform utilizes an "agentic newsroom" model where AI editors evaluate the legal risks of a story before deciding whether to publish without human oversight.
While critics argue that building source trust remains a uniquely human skill, proponents see these automated tools as a natural evolution for coverage based on large datasets or live events.
As these synthetic newsrooms proliferate, they face ongoing scrutiny regarding their ability to maintain accuracy and follow citation standards without human intervention.