AI-writing detection scan

Undetectable AI returns a probability that a passage reads as AI-generated. A Beam agent submits text when a document reaches a review stage, reads the returned score, and writes it onto the content record alongside the checked date. Passages below your acceptance threshold pass automatically to the next stage. Anything scoring above the line, or flagged as borderline, is sent to an editor with the score and the original text, so a person decides whether to rewrite, accept, or request a source, rather than the number deciding on its own.

Batch content checking

When a folder or queue of drafts is ready, a Beam agent sends each item to Undetectable AI in turn, reads every score, and records the results against the matching documents. It compiles a short summary of which pieces passed and which need attention, then posts it to your content channel. Items the service cannot handle, such as unsupported formats or empty text, are set aside and reported to a coordinator. People decide what happens to flagged drafts; the agent only gathers and files the detection results.

Score-based routing

Publishing workflows often require a detection check before content goes live. A Beam agent enforces that gate by reading each piece's latest score before release, and holding anything that has not been checked or that exceeds your threshold. Held items are routed to the assigned editor with a note on why they stopped. Once a person clears a piece, the agent records the approval and lets the workflow continue. Scores near the boundary always go to a human, so the automated gate never overrides editorial judgment on genuine edge cases.