Last year, I made a YouTube documentary series showcasing the prolific corruption in a small city government. I downloaded all the city government meetings, used Whisper to transcribe them, and then set up a basic RAG so I could query across a decade of committee meetings (around 1 TB of video). Once I got the timestamps that I'm interested in, I then have to embark on a tedious manual process of locating the file, cutting out a few seconds/minutes from a multi-hour video, and then order all the clips into a cohesive narrative.

These seem like problems that LLMs are especially well-suited for. I might have spent a fraction of the time if there was some system that could "index" my content library, and intelligently pull relevant clips into a cohesive storyline.

I also spent an ungodly amount of time on animations - it felt like "1 hour of work for 1 minute of animation". I would gladly pay for a tool which reduces the time investment required to be a citizen documentarian.

hey, thanks for sharing about your documentary series. would love to check it out if you don't mind linking it!

we don't yet support that volume of footage (1TB), however if you'd like to try this at a smaller scale, you can already do this today with the Rough Cut tile — simply prompt it for the moments that you're interested in (it can take visual cues, auditory cues, timestamp cues, script cues) and it will create an initial rough cut or assembly edit for you.

I'd also recommend checking out the new Motion Graphics tile we added for animations. You can also single-point generate motion graphics using the utility on the bottom right of the timeline. Let me know if you have any questions on that.