Lessons from "AI Robot Reality Check" #47




Behind the Scenes: How to Get the Most Out of AI Robots... 

Lessons from "AI Robot Reality Check #48"

Sometimes I feel it's a boxing match with Claude for 20 minutes to get one LinkedIn post right. 

Here's what that process teaches you about getting better results from any AI:

START WITH A CLEAR REFERENCE POINT

I didn't just say "write something funny about AI." I showed Claude that viral "Social Media Explained" meme as a template. Giving AI a concrete example of tone, structure, and style gets you 80% there immediately. Don't make it guess what you want—show it.

BE RUTHLESSLY SPECIFIC ABOUT ACCURACY
When Claude wrote "Here's a world hunger recipe" for Stable Diffusion users, I called it out immediately. AI will try to force-fit things into your format even when it doesn't make sense. Push back. Demand that the humor comes from truth, not from trying too hard to be clever.

ITERATE ON THE DETAILS THAT MATTER
Notice how many times I made small tweaks? "World hunger" was too heavy, so we switched to donuts. The ChatGPT line needed to reflect their actual reputation. Each small correction compound into something much better than the first draft.

KNOW WHEN TO GIVE DIRECT FEEDBACK
"This isn't sassy enough." "Make it more accurate to their reputation." "Add more irony and attitude." Don't dance around what you want—AI responds better to direct criticism than vague suggestions.

TEST THE CULTURAL ACCURACY
The best AI-generated content feels like it could have been written by someone who actually uses these tools. I kept pushing Claude to nail the real stereotypes and insider knowledge because that's where the humor lives.

SIMPLIFY AT THE END
Even after getting great content, I stripped out the markdown formatting and streamlined the language. AI often over-engineers. Your job is to edit it back to human.

The secret isn't finding the perfect prompt. It's being willing to have a conversation, give feedback, and iterate until you get exactly what you need. Treat AI like a collaborative partner, not a magic button.

Most people give up after the first mediocre response. The good stuff happens in rounds 3-5 when you've trained it on your specific vision.

That's how you get AI that doesn't just work—it works for YOU.


David

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