See how a clever prompting approach turned a city’s overwhelmed clerk office into an AI-powered efficiency machine. Learn the method that eliminated backlogs and made responses instant.
The story
I never thought I’d see AI work like this until I watched Scott Howard Swain transform a city’s broken system. Let me tell you what happened in Whitmore.
Picture a clerk’s office drowning in emails—potholes, permits, zoning questions—you name it. Their AI was like a eager rookie who kept missing the point. Total mess.
Then Scott steps in with this brilliant meta prompting approach. Instead of just teaching AI to respond, he taught it to think through problems like an experienced clerk would. Genius move.
Here’s the cool part: He layered these prompts so the AI could grasp context and intent. Now when someone asks about zoning, the system automatically connects it to local policies and approval history. It’s like the AI grew a brain overnight.
The results? Mind-blowing. Work that used to take days now happens instantly. The backlog? Gone. Errors? Almost zero.
I’ve seen lots of AI implementations, but Scott’s meta prompting technique is different. He doesn’t just make AI work—he makes it think. And that’s what transforms a basic chatbot into a precision business tool.
If you’re wrestling with AI accuracy in your business, Scott’s your guy. He’s not about quick fixes. He’s about teaching AI to ask better questions, which leads to better answers.
Want to see what meta prompting can do for your business? Check out Scott Howard Swain on LinkedIn: linkedin.com/in/scottermonkey/
Trust me, while others are still trying to figure out AI, you could be putting it to work—the right way.
