AI Services Market › Use cases › Content & Creative
Content & CreativeDone with custom-built or unnamed agent Oct 21, 2026
Curate local playlists and strip ads from videos with a local agent
The author runs a local LLM agent on a consumer GPU that manages playlists, downloads videos, strips ads and sponsored content, and surfaces the most interesting ones.
- What They Did
- The author runs a local LLM agent on a consumer GPU that manages their playlists and operates a self-hosted Spotify-style music setup. For YouTube, local software downloads video files from the servers, removes ads and sponsored segments, and the agent picks the videos most relevant to the author's interests. The source gives no further mechanics.
- How It Went
- The author says they haven't used YouTube itself in years. The source gives no numbers, and it doesn't name the model or the tools involved.
- Worth Knowing
- The source is a brief forum comment with no setup details, so expect to work out the tooling, model choice and hardware requirements yourself.
Try it yourself with custom-built or unnamed agent
Set up a local workflow on my computer that manages my video playlists. Download the videos from [playlist URLs or channels], cut out ads and sponsored segments, and rank them by how interesting they look based on [my interests, e.g. topics or creators I like]. Finish by giving me a short list of the top [number] videos with a one-line reason for each, and ask me before deleting any files.
Do this with a skill.
These AI Services Market playbooks do this exact job.