What I learned shipping AI content publicly

Publish the workflow, not the trophy

A finished video gets likes. A documented workflow gets questions — and the questions are what make the next piece better. That's why the RESILIENT tutorial exists alongside the video.

When I only posted results, I repeated my own mistakes. When I posted the steps, other people spotted them for me.

What the feedback loop changed

Public questions forced me to be specific. 'How did you keep the face consistent?' is the question that made me realize the character sheet was the real lever — not the prompt.

I now write the explanation before the next attempt, not after, because teaching it publicly is the fastest way to find the hole in my own understanding.

The rule before I publish

One rule: the piece has to work for someone who isn't me. If the tutorial only makes sense to the person who made it, it's not done — it's a private note.

I read every post aloud once before publishing. The sentences I stumble over are the ones the reader will too.

What I still get wrong

I wait too long to publish when a piece feels unfinished. The version that's out is always more useful than the perfect one that isn't — feedback on a real artifact beats a theory in my head.