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Apr 2 • 💡Tips
Most coaches blame AI for generic content. The problem is earlier than that.
AI produces generalities when you give it generalities.
Feed it a topic, "content marketing for coaches" and it returns the kind of output that sounds fluent, structured, and identical to everything else in your niche. That's not a failure of the tool. That's a failure of the input.
The fix is a step most coaches skip entirely: let the AI interview you before you ask it to produce anything.
Not "give me a post about X." Interview. Dig into a specific client situation. A belief you hold that
contradicts the standard advice in your field. A moment from a client engagement that didn't go to plan, and what you learned from it. The kind of thing that never makes it into a standard prompt because it doesn't feel like "content."
That context - your actual experience, your actual IP - is the only thing AI cannot manufacture on your behalf.
Once that's in, the output is different. It sounds like you because it came from you.
I use NotebookLM as part of this process. It's particularly effective at drawing out the non-obvious material, the stuff you know but haven't thought to say.
The question for the room: when you use AI for content, where does it actually fall down for you?
Generic output, wrong tone, missing your specific framing, or something else?
Drop it below. I'll pull the patterns and build a resource around whatever surfaces most.
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Most coaches blame AI for generic content. The problem is earlier than that.
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