I'm Runbo Li, Co-founder & CEO at Magic Hour.
The trick to building content guidance that works across cultures is ruthless specificity. Vague rules like "don't be offensive" are useless because offense is culturally constructed. What actually works is anchoring every label to observable behavior, not subjective interpretation.
When we were scaling Magic Hour to millions of users globally, we had to define what content our platform would and wouldn't generate. Early on, we made the mistake of using fuzzy categories like "inappropriate" or "harmful." That created chaos. A template that felt edgy but fine in one market would get flagged by users in another, and our own internal reviews were inconsistent. Two people looking at the same output would reach different conclusions because the labels were vibes-based, not evidence-based.
The single rule that eliminated the most confusion was what I call the "action test." Instead of asking "is this harmful?" we ask "does this depict, instruct, or promote a specific real-world action that causes physical, financial, or legal harm to an identifiable person?" That question travels across every culture because it removes the subjective layer entirely. You're not debating tone or taste. You're asking whether the content maps to a concrete, verifiable action and a concrete, verifiable target.
For escalation, we built a simple two-gate system. Gate one: does it fail the action test? If yes, it's blocked automatically, no human review needed. Gate two: if it doesn't clearly fail but gets flagged by users, a human reviews it against a written rubric with five examples of "yes this crosses the line" and five examples of "no this doesn't." Those ten examples do more work than any paragraph of policy language ever could. People learn boundaries from examples, not abstractions.
