AI Video Production at Scale
A second, anonymized freelance line: 600+ AI-generated and AI-edited video assets across 14 client accounts. Below: the automation behind delivery, and a sample of the output.
Delivery runs on the same n8n stack.
Approved cuts are scheduled and cross-posted through the same self-hosted n8n graph used in the Content Automation Pipeline case study, not a manual upload per client.
Nine clips where the motion is the point.
These are here because a frame cannot carry them: a face holding identity through a turn to camera, one presenter cut across three locations, a macro pass that only reads while it moves. No single client's footage or branding is shown in full.
One piece shot at cinema ratio.
A torch-bearing crowd, smoke, and two interior looks through iced glass, all holding together across the cut. It is the only clip in the set framed wide, so it is shown wide rather than cropped into a phone frame.
Ten more, across verticals.
Breadth rather than depth: automotive, hospitality, fashion, food, a technical explainer, and a locked-off time-lapse that has to hold framing and light steady while the subject changes. Smaller tiles because they are the supporting evidence, not the argument.
Scale: 600+ AI-generated and AI-edited assets, 14 client accounts.
Two bars compare the 600 or more assets produced with the 20 clips shown and playable on this page. The 600 is a lower bound, and the bar for the 20 clips is drawn against exactly 600.
- Assets produced across 14 client accounts600+
- Clips shown and playable on this page20
Twenty of 600+, all playable. Selected for craft and for range, and filtered so nothing here carries a client mark.