Products
CoJourno
Gambit 3
AI Highlight Maker
Your show just aired.
Your highlights are already cut.
Why scrub through an hour of content to find the moments that matter? CoJourno's Highlight Maker watches the show, finds the highlights against your editorial criteria, cuts them, reframes them, and schedules them for social. Compatible with Saga and Mimir.
What this Gambit does

The Highlight Maker runs CoJourno's AI over the long-form content as soon as the broadcast ends - or while it's still running, for live use cases - and identifies the highlights based on editorial criteria you define.
Those criteria can be as simple or as nuanced as you want: tone of the voice, emotions, people talking over each other, applause and audience reaction, key speakers, specific topics flagged in the rundown, mentions of particular names or themes, visual cues. The Gambit combines automatic transcription, speaker diarisation, and scene analysis to find the moments that match.
Then it cuts them. The Gambit produces ready-to-go highlight clips at the lengths your social platforms want, with a text explaining why it is a highlight, and gives you the option to reframe it for vertical (Gambit 01 chained in), with titles and descriptions generated in your editorial tone (Gambit 02 chained in), and schedules them for publication.
No scrubbing. No manual tagging. No waiting for the social desk to finish their backlog before yours gets attention. The highlights are surfaced automatically - and when the bulletin ends, the clips are already queued.
The work that follows
every long-form piece
Your hour-long show just aired. A press conference just wrapped. A panel discussion has finished. Somewhere on your team, someone is now sitting down to find the highlights - scrubbing the timeline, marking in-points and out-points, exporting clips, reframing them for social, generating titles, scheduling them across platforms.
It's the same pattern after every long-form production. And it's the same problem: by the time the highlights go out, the moment has cooled. The audience has moved on. The story that mattered most in the live broadcast is competing for attention with everyone else's coverage of the same event, now that the gap between airing and clipping has given competitors time to publish their own.
The bottleneck is human attention applied to a task that is mostly mechanical: watch, mark, cut, export, reframe, post. Editorial judgment matters in selecting what counts as a highlight - but once those criteria are clear, the rest is execution.
Where it sits
Highlight Maker is compatible with Saga and Mimir. It triggers on configurable events - a show completing, a press conference asset landing in the MAM, a long-form file ingested with a particular tag. It chains naturally with the reframing and social publishing Gambits if you have them, and runs standalone if you don't. The output goes back into your MAM as ready-to-publish clips, tagged with the editorial criteria they matched.
What changes
Highlights stop being a slow-following second act to your broadcast. They go out while the moment is still hot. The team that used to spend the hour after the show clipping highlights stops doing that - their attention goes to the kind of editorial judgment that an algorithm can't replicate. And your audience starts seeing coverage of your moments faster than they see anyone else's.

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