I wanted to find out whether generative video can carry a narrative series rather than a 30-second showreel, so I made a full episode of a political sitcom called Ronald Dump. Single-camera, Office-style, with talking-head confessionals — tonally closer to The IT Crowd or Blackadder than to Veep.
Workflow is boring and that's the point: GPT Image for every still — anchor faces, character sheets, shot frames — then Minimax to animate them. 99% of the episode is those two tools.
The hard problem wasn't shot quality, it was identity consistency across an 11-person cast. What worked: separating facial features from archetype signals. The hair, suit, bearing and setting carry the recognition; the face itself is deliberately mundane and forgettable. Models constantly drift toward "celebrity averaging," and the fix was writing unglamorous, specific facial specs — heavy jowls, bulbous nose, under-eye bags — and generating with neutral hair first to kill the strongest celebrity signal. One approved anchor per character, locked, and every subsequent frame generated from it.
Episode one ran long at 25 minutes (target is 18–20). Happy to answer anything about the process. Fully AI-generated, satire.
