35 posts
Great retention and CTR with your own fans can hide a cold-audience flop. Here's a pre-publish New Viewer Test that catches it before you post.
The consistency vs quality youtube debate is a trap. There are two consistencies, and creators optimize the one that doesn't compound. Here's the fix.
You optimized the titles, the hooks, the thumbnails — and still stalled. The part everyone skips is checking who YouTube already thinks your channel is for.
Eight hours of editing for thirty seconds of video is how faceless channels die. Scaling isn't out-editing yourself — it's building a reusable format once.
Viewers can ask AI to summarize a video instead of watching it. Creators are split on whether that's an apocalypse or a padding tax. For faceless channels, it's a design constraint.
NotebookLM can generate a finished faceless video in minutes. Uploading that video is the mistake. Here's the workflow that uses it as a research brain instead.
The auto-everything AI video factory is real, and parts of it genuinely work. But four things break the moment you run it at scale — and none of them are the render.
A creator spent months on tags and keywords and stayed at 200 views. Here's what actually drives Shorts discovery in 2026 — and the small job tags still do.
TL;DR: One faceless creator shared his whole stack — Claude for scripts, ElevenLabs for voice, Pexels for visuals, one CapCut template for the edit. Here's that workflow wired end to end, with the revenue claim attributed honestly.
Viewers click off the second they hear a robotic AI voice — it counts as a view but kills your retention. Here's how to pick a faceless voice that doesn't out you.
Your videos hit 20–30k views and die. Higher views, flat subscribers. The plateau isn't a reach problem — it's a memory problem, and visual style is the fix.
Cost per video is the wrong number to obsess over. The real question is which of the 5 automation tiers you should run, scored by budget, risk, scalability, and exit value.