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.