Someone I admire dismissed my advice because it sounded like AI wrote it. The worst part? He was right. Here's how I fixed it.
I'd built all these AI skills, created great prompts, and was churning out social posts, emails, and outlines. I thought I was winning. Then a creator with a massive following asked me for help with his membership. I dictated my advice into Claude, had it clean things up, and sent it over. His response? "Honestly, it just sounds like a ChatGPT response." That one stung. But when I looked at it, he was right. The advice was solid, but it wasn't me.
I'd been using AI like a vending machine. Put in a topic, get out content, move on. But AI doesn't know your voice unless you teach it, your stories unless you give them to it, or your principles unless you define them.
In this episode, you'll learn:
- The one mistake that makes AI content sound generic (and most people are making it)
- How to build a voice library so AI actually sounds like you
- A 5-point context checklist that transforms AI output quality
- Why editing for humanity matters more than editing for perfection
📥 RESOURCE: Grab the resources from this episode at https://podcast.stu.me
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