Content production pipeline for an AI education company
This company sells education to people building AI businesses, and it grows the way every education business grows: by publishing constantly. Paid ads on Meta, organic social, and long interviews with members talking about what changed for them.
That makes content operations the engine of the business. When the content slows down, everything downstream slows with it.
- Industry
- AI education
- Content types
- Paid ad creative, organic social, member interviews
- Raw material
- Hour long interviews, in batches
- Constraint
- Editor and designer hours
The challenge
The whole operation ran on people watching things. An hour long member interview had to be watched end to end, by someone senior enough to know what was good, just to find the four minutes worth using. Then those moments had to be found again in the timeline and cut by hand.
Paid creative had the same shape of problem. Every ad meant rebuilding a layout that already existed, resizing it for each placement, and remembering the compliance disclaimer that has to appear on anything mentioning money.
Then came the admin nobody counts: renaming files, uploading them for review, chasing feedback, and copying the finished versions into the content database in the right folders.
None of it is hard work. All of it is slow. So output was capped by hours in the day, and the only way to publish more was to hire more people.
Our approach
Interviews are transcribed with word level timing, then read end to end by a model that returns ranked, timestamped clips that hold a story rather than disconnected soundbites. Long interviews get read whole, because anything that reads them in pieces returns fragments that make no sense on their own.
The chosen moments become a real timeline. An editor opens a cut sequence, frame accurate, instead of a list of timecodes to chase manually.
Ad creative is produced in batches off templates, sized correctly for each placement, with the disclaimer applied every time so compliance stops depending on somebody remembering. Organic posts come off the same templates, so paid and organic match without anyone rebuilding a layout.
Delivery is part of the run. Finished files upload themselves to the review tool and the content database, in the folder structure the team already uses.
Outcomes
A round of interviews now produces dozens of finished clips in the same week, with a human deciding what is good rather than hunting for it.
Ad creative ships in batches instead of one at a time, and nothing waits on a designer rebuilding a layout that already exists.
Used in production across several batches, delivering dozens of finished reels and ad creatives at a time.
Why this matters
Content businesses hit a ceiling that looks like a talent problem and is actually a process problem. The hours go into finding, cutting and filing, not into judgement.
Automate the finding and the filing and the same team publishes several times more, without anyone working a longer day.
One pipeline that transcribes, picks, cuts and renders, then files the results where the team already works.
