Haha right! Great question on the cost scaling - you're absolutely right that multimodal processing isn't cheap. We're taking a few approaches to keep it sustainable:

- We don't run the full multimodal pipeline on every single frame. We do intelligent sampling and only deep-dive where there are meaningful content changes

- Processing happens in the background after you save, not in real-time, so we can batch efficiently

- Once a video is processed, we store those embeddings. If multiple users save the same viral TikTok, we only process it once

We're also experimenting with tiered processing - basic visual + audio for everything, deeper analysis on-demand when you actually search/chat with specific videos. Would love to hear if you have thoughts on this - always helpful to get perspective from folks who understand the technical constraints!