I realized I was using AI completely wrong.

When I first started using LLMs, I would open ChatGPT, type what I wanted, get a mediocre answer, and blame the model.

Then I started experimenting.

I noticed something interesting:

The biggest improvement didn't come from finding "magic prompts."

It came from giving the AI a process.

Instead of:

I started telling it to:

→ Understand my objective first
→ Ask questions when information is missing
→ Challenge my assumptions
→ Break the problem into parts
→ Find a better approach if one exists
→ Execute the task
→ Check the result before giving it to me

That completely changed how I use AI.

So I built a simple LLM Master Prompt around this process.

I've been using it as a starting framework whenever I want better results from an LLM, and I'm now collecting the best prompts, workflows, and AI techniques I've discovered into a private newsletter.

I'm curious though:

What's one thing you've changed about the way you prompt AI that made a noticeable difference?