I edit AI-generated YouTube documentaries.
17 minutes of cinematic long-form content, layered audio design, 60fps, fully synced to narration.
This is what the timeline looks like when it's done right.
If you run a YouTube automation channel and need a serious editor — DMs open
Most YouTube automation channels treat editing like the last step.
It's actually the most important one.
The script gets people to click. The edit decides if they stay.
@ope_dave That spike tells you the topic worked. The drop tells you the edit or the follow-up video didn't hold the audience YouTube sent you. Worth studying what was different about that one.
@copymanuel Storytelling technique lands differently depending on how the edit supports it. The best scripts fall flat when the pacing doesn't match the narrative beats.
@Wasiuademola5 Appreciate that. It's the part most automation channels figure out too late. If you ever need an editor who gets the process, I'm available. Portfolio in my bio.
@thesarmie Then it's likely the retention on the 12% video dropping early, YouTube stops pushing it once people click and leave. What does the average view duration look like on both?
@BigtegaTakes Fair enough, if it's not being recommended at all that's a different issue. Distribution problems are harder to diagnose from the outside. Hope the next one picks up.👍
@CJDA_GOAT@jennieofYT@FeyiLux@Nerdrockz@theyhatesFbwoy Retention data takes 48 hours to process : check back then. If the drop happens early it's an editing fix, if it holds past 30% it's a distribution problem. Two different solutions.
@Nerdrockz The tools are the easy part to figure out. The hard part is knowing what to do inside CapCut once everything is imported, pacing, sound layering, pattern interrupts. That's what separates channels that retain viewers from ones that don't.