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?