Blog
Notes from building a faceless-video engine: real retention data, real formats, no filler.
Why most faceless channels stall at ten videos, and the three rules that break the plateau
Most faceless creators give up around video ten because views flatline. Here is why the early algorithm honeymoon fades and the exact operating system to fix it.
How to read a retention graph: the drop that means something, and the drop that is just Tuesday
Every retention curve slopes down, so the steepest moment is usually not a finding. Here is the arithmetic that separates a real drop from ordinary decline.
Why most faceless channels stall at ten videos
The graveyard of faceless YouTube is full of channels with ten uploads. The stall is not a motivation problem. It is an effort, format and feedback problem. All three are fixable.
How to write a hook for a faceless video, and score it before you publish
Four properties separate an opening line that holds viewers from one that loses them, and all four are checkable in the eight words you have.
Disclosing AI video: what YouTube, TikTok and Instagram each give you to do it with
Three platforms, three different disclosure mechanisms, and one of them does not exist. What the upload APIs actually expose, and why a line in the description is not enough on its own.