Most people copy prompts. I studied how AI thinks.

I started with zero experience — just curiosity. I pushed every AI model until it broke, learned why it failed, and built systems that make models behave exactly the way I want. That’s what took me into the top 1–2% globally in practical prompt engineering.

Here’s my real process:

⭐ 1. I treated AI like a mind, not a machine.

Every model has a personality. GPT is logical, Claude is narrative, Gemini is analytical. Understanding that changed everything.

⭐ 2. I broke AI on purpose.

I pushed impossible tasks, conflicting instructions, long contexts — and learned exactly how LLMs think. Failure became my training ground.

⭐ 3. I built real tools with Python + AI.

PDF agents, translators, resume builders, chat systems, assistants — not theory, but real-world systems. Each project made my prompting sharper.

⭐ 4. I learned to predict AI behaviour.

After thousands of tests, I could “feel” what the model would output before it even responded. That intuition is what separates experts from casual users.

⭐ My message:

Prompt engineering is not dying. It’s evolving — and people who understand AI deeply will lead the next wave of the future.

I started alone. No team, no mentor, no job.

If I can do it, you can too.

— Aleem.Developer Top 1–2% Prompt Engineer Python Developer Real-World AI Practitioner