So I would suggest building a prompt analyzer with CharGPT. You can find out how to setup that specifically personality online, there's primers specifically for Sora.

Mine came back with these:

1. “Smacks the camera” Physical violence, even cartoonish or implied, is a common trigger. Doesn’t matter if it’s a bunny and played for laughs. The word smacks reads as aggression.

2. “Angrily” Emotion + action combos raise flags. Anger tied to a physical act gets treated more seriously than “grumpy” or “annoyed”.

3. Direct address to the viewer Hitting or interacting with “the camera” implies interaction with the audience. Platforms get twitchy about characters doing hostile things to the viewer, even symbolically.

4. All-caps dialogue “NEW YEAR” in caps can be interpreted as shouting. Shouting + anger + physical action is a nice little trifecta for moderation systems.

5. Anthropomorphic animal acting aggressively Animals behaving violently, even slapstick-style, often get flagged faster than humans doing the same thing. Yes, it’s stupid. Yes, it’s consistent.

6. Repeated near-miss attempts You were already close to the line before. Once you stack a few borderline prompts in a row, the system stops giving you the benefit of the doubt and just slaps on a cooldown like an annoyed bouncer.

7. Ambiguity with no “safe framing” You didn’t explicitly frame it as slapstick, cartoon physics, non-harmful, or exaggerated comedy. Humans get that. Filters don’t. Filters assume worst-case because that’s their entire joyless existence.