Suddenly, my responses went from generic fluff to jaw-dropping insights.
I still remember the first time I asked ChatGPT to “summarize this Python tutorial.” The output? A bland wall of text that sounded like it came straight out of a textbook. No personality, no depth, and worst of all, it didn’t feel like something I would write.
Fast forward a few months, I was knee-deep in automation projects, frustrated that my AI assistant kept giving me robotic answers. So I started experimenting with how I phrased prompts. What happened next felt like magic. Suddenly, my outputs weren’t just useful, they were sharp, context-aware, and sometimes even witty.
Here’s the playbook I built. Nine tricks that transformed AI from a boring autocomplete machine into something that actually feels like a second brain.
1. Anchor Your Prompt in Context
The biggest mistake I made early on was being too vague. If you don’t give AI the “setting,” it just free-floats.
Instead of:
Explain Python decorators
I now do:
You’re teaching a junior developer who knows functions…
