Cleaning Messy Data: I Turned 200 Junk Files into Gold in 10 Mins

I opened my "scraped_data" folder yesterday and almost deleted the whole thing.
It was a graveyard of 200 text files I’d collected over the last year - notes, copy-pasted articles, half-finished ideas. I wanted to turn them into the "Blueprints" you see on this site.
> TL;DR: I had 200 messy files that needed to be cleaned up. Instead of writing a complex code script, I just wrote a simple "Memo" in English telling the AI what I wanted. It read the memo and fixed all 200 files in minutes. English is the new coding language.
But the data was garbage.
Some files used "Goal:" headings. Others used "Objective:". Some were just random bullet points.
To fix this the "right" way, a developer would write a Python script using Regex.
If you’ve never seen Regex, it looks like this: ^([a-z0-9_\.-]+)@([\da-z\.-]+)\.([a-z\.]{2,6})$.
Yeah. No thanks.
I am not learning that just to clean up some text files.
Prompt Engineering > Coding
Instead of writing code, I tried something dumb. I treated the AI like an intern.
I created a new file called MIGRATION_GUIDE.md and just... wrote in English.
I literally put:
> "Hey, look at this messy file. I want you to find the title (it's usually the first line) and the goal. Then rewrite the whole thing so it looks like this clean example below."
Then I ran the command:
> *"Read the guide. Then go through every file in the folder and fix them."*
It Actually Worked
I watched the terminal as it chewed through the files.
It was kinda spooky.
A rigid script would have choked on half these files. The AI just "got it."
Why I'm Writing This
I talk to a lot of founders who are sitting on piles of messy data - customer feedback, old leads, meeting notes. They think they need to hire a data scientist to clean it up.
You don't. You just need to write a good set of instructions.
We're at a weird point in tech where writing a polite memo to a computer is more effective than writing actual code. I'm here for it.