Asked every AI the exact same question.
Waited patiently.
Pasted each response into 5 different Python files.
Hit run on all five.
Picked the best one.
Like a psychopath.
We are not the same.
I’ve been thinking a lot lately about something most people completely ignore when using AI tools, the actual cost of a prompt.
Not the subscription fee. Not the API pricing charts. I mean the real cost.
Every time you type a prompt, you’re spending something. Sometimes it’s money if you’re using tokens, but more often it’s time, clarity, and output quality. A messy prompt usually leads to a messy answer, which means rewriting, rethinking, and trying again. That cycle adds up fast.
After working in SEO for decades, I’ve seen the same pattern repeat itself. The people who get the best results aren’t the ones who ask more questions. They’re the ones who ask better questions.
Here’s where it gets interesting. Most AI tools process prompts based on word or token count. That means longer prompts can cost more, especially at scale. But shorter prompts aren’t always better either if they lack direction.
So the real goal is efficiency. Clear intent. No wasted words. No confusion. I started paying attention to how long my prompts actually were, and it changed how I write them. If you’ve never checked yours, it’s worth trying something simple like this:
https://www.wordcountertool.net/ai-prompt-word-counter
It gives you a quick sense of how much you’re feeding into the model before you even hit enter. Not saying everyone needs it, but once you start thinking in terms of prompt cost, you’ll notice how much output improves just by tightening your input.
Curious if anyone else here tracks this or if most people just wing it?