
I wanted to try something slightly different this time. Not rewriting text or simplifying something confusing, but using AI for a small, everyday decision.
Nothing major. Just one of those situations where you’re unsure what to do and end up going back and forth in your head.
So instead of overthinking it, I tried asking AI for help.
The situation was simple. I had a few tasks to get through, not enough time to do everything properly, and I wasn’t sure what to prioritise first.
So I asked:
“What’s the best way to prioritise tasks when you don’t have enough time to do everything?”
The response came back structured and clear. It suggested starting with what’s most important, identifying what has deadlines, and focusing on tasks that have the biggest impact.
On the surface, it made sense.
But what stood out wasn’t the advice itself. It was how general it felt.
It wasn’t wrong, but it also wasn’t specific to my situation. It didn’t know what my tasks were, what mattered most, or what could realistically wait.
So I asked again, this time adding more detail.
“I have 4 tasks: writing a blog post, replying to messages, sorting some documents, and preparing something for tomorrow. I only have a few hours. What should I prioritise?”
This time, the response was noticeably different.
It suggested focusing on preparation for tomorrow first, then the blog post, followed by messages, and leaving document sorting until later if time allowed.
That felt more useful.
Not because it was necessarily perfect, but because it was closer to the situation I was actually dealing with.
What this showed me is something quite simple.
AI works better when you give it context.
The first answer wasn’t wrong, it was just too broad. The second one improved because it had something to work with.
It also highlighted something else. Even with a more tailored response, I still had to decide what made sense. It helped structure my thinking, but it didn’t replace it.
That seems to be the pattern again.
AI can guide, suggest, and organise ideas. But it doesn’t remove the need to think things through yourself.
For small decisions like this, that’s actually enough.
Because sometimes the hardest part isn’t making the decision, it’s getting clear on how to approach it.
And in this case, that’s exactly where AI helped.
---
If you missed the previous post where I talked about where I compared two answers of the same question, you can read it here:
👉 I Compared Two Answers from AI to the Same Question (The Difference Was Interesting)
No comments:
Post a Comment