I Taught Myself Prompt Engineering by Breaking ChatGPT — Here’s What I Learned

The fastest way to master AI is to push it until it fails.

Photo by Jacob Mindak on Unsplash

1. The Day I Broke ChatGPT (Accidentally… and Then on Purpose)

It started with a bad idea.
I was building a simple Python automation script — something that could read emails, categorize them, and auto-respond to the boring ones (“Thanks for your message, I’ll get back to you soon.”).

Naturally, I thought, Why not make ChatGPT handle the replies?
So, I connected the API, gave it a few examples, and told it to be “professional but human.”

It worked until it didn’t.
After a few runs, ChatGPT started mixing up message contexts. One email about invoices got a reply that belonged to a client request. It was chaos.

And that’s when I realized: I wasn’t just automating emails, I was training behavior.
If I wanted this system to actually think the way I intended, I needed to understand how prompts shape reasoning.
That’s when I started breaking ChatGPT on purpose.

2. Prompt Engineering Isn’t About Wording —…

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