I think the idea is interesting, but it only works if the labels are accurate and not intrusive. If everything is marked “likely AI” even when it’s real, people will stop trusting it quickly. The credibility of the detection matters more than the feature itself.
A trust score for creators could be useful though. Especially for news, tutorials, or product demos where authenticity matters. For entertainment content, most people probably wouldn’t care and would just scroll normally.
Another challenge is that AI and real content are blending fast. A video could be mostly real with AI edits, voice cleanup, or generated backgrounds. Deciding what counts as “real” gets messy. Too many warnings might also hurt the viewing experience.
It might work better as an optional layer instead of the core experience. Something you tap when you’re unsure, rather than labels everywhere. That keeps casual scrolling intact while still helping people who care about authenticity.
You could even prototype how the labeling UI feels using Runable before building detection itself. If the experience feels helpful and not annoying, then it’s probably worth pursuing.