SEEN AI:
Editorial AI for television
When people say AI, they usually mean Generative AI, which generates. Or Analytical AI, which measures. SEEN AI is building a third category: Editorial AI, which chooses.
Editorial AI means training agents to exercise editorial judgment — to make good creative decisions across the television production workflow.
The first 70% of editorial work — shortlisting, logging, selects, string-outs, first assembly — is pattern recognition wearing a creative hat. It is expensive because it is slow, not because it is creatively hard.
Our agents automate right up to that line, then stop. Humans make the calls that make a show good.
You can't scrape editorial judgment
There is no training data for good editorial judgment. So we became the data. There is no dataset for what makes a person castable, or where a scene should turn, or which take is usable. That knowledge lives in people who have done the work for a lifetime.
Our award-winning producers sit with our agents all day, negotiating thousands of real editorial decisions. Why doesn't this audio edit sound right? Which cutaways are usable? What makes someone worth a second look?
We teach the agents the way we would teach a young production team.
We cut weeks.
30% human judgment
The grind of generating, combining and discarding ideas. Editorial agents know every show in the genre and see the patterns that make a format work. They generate original formats on demand, built on proven engines.
The blank page is gone. Judgment stays human, but the producer starts with a slate.
The digital age has produced an ocean of aspiring talent, but good television talent is about watchability, not engagement. Editorial agents read a creator’s actual footage for the qualities that hold an audience — the things a casting director sees in ten seconds and a follower count never shows.
By the time a casting director arrives, the ocean is a shortlist.
Studio and field production generates more content than any person can track, and attention doesn’t scale. Comprehension agents listen in real time, holding every word spoken against the editorial brief, the rules and past episodes — and surface the right prompt the moment it’s needed.
The producer stops tracking and starts producing.
Story recognition, logging, selects, string-outs, first assembly. Editorial agents do weeks of human work in minutes and deliver story-driven assemblies straight to the edit.
The edit doesn’t start with rushes. It starts with a story — weeks earlier than it used to.
One title becomes forty assets — ratios, platforms, territories, durations — and every one needs the same small judgments made again and again. Where is the subject in this frame? Who is talking? What can be cropped? What line can be lost? Editorial agents decompose the master once and regenerate every version with those judgments intact.
Repetitive execution becomes a sign-off.