Look, I've been testing dozens of AI approaches for the last 6 months, and I've discovered most authors are using these tools completely wrong.
Don't get me wrong - it's taken me 3 yrs and lots of geek time testing and exploring - who needs a TV?
When people share their process with me, these are the most common mistakes I notice most:
- Asking AI to write entire chapters (readers can spot this garbage instantly)
- Ignoring AI completely (and leaving money on the table)
As a lover of tech and explorer of AI I thought I'd start to share a few things along the journey - I would love to see what results you get:
The "Perspective Expansion" Technique
Instead of asking AI to write content, use it to challenge your thinking with this prompt:
"What are 3 counterarguments an expert in [your topic] would make against my point about [specific concept]?"
This forces you to address objections BEFORE readers raise them, making your arguments bulletproof. I use it in the outline phase to make sure I cover to make sure I hit those objections straight on.
No more getting demolished in Amazon reviews for missing obvious counterpoints.
Question: Have you ever had a beta reader love your book except the glaring hole in your story? You know when you gt that feedback that reads - Great book expect I wish the author had address this ....
Give it a test and tell me what you think
More geek stuff later