This year, working with AI forced me to unlearn something I was very sure about.
I assumed the hard part for most people would be the technology.
Prompts. Tools. Models. Features.
It wasn’t.
Spending time inside ChatGPT every day, especially with non‑technical people, made one thing obvious very quickly:
When AI feels messy, overwhelming, or inconsistent, it’s rarely because the system is failing.
It’s because the thinking that enters the conversation already is.
I’ve watched this play out over and over.
Someone opens ChatGPT in a rush.
They type whatever is sitting at the top of their mind.
They hope the tool will somehow sort things out for them.
When the answer comes back noisy or off‑target, they blame the AI.
But when that same person pauses long enough to say what they actually want, and just as importantly, what they don’t want, the experience changes immediately.
The output calms down.
The response gets sharper.
The frustration disappears.
This newsletter isn’t about prompts or hacks.
It’s about three things AI quietly taught me this year about human behaviour, and why getting those right makes every tool feel simpler, more reliable, and easier to trust.
Three things AI quietly taught me about humans this year:
1. Most people don’t know what they want; they just know what they don’t want to feel
This is the pattern I see most often.
People open ChatGPT because something feels uncomfortable. They feel behind, overloaded, unsure, or stuck. They don’t come in with an outcome; they come in with tension.
So they type something vague and hope the tool will sort the situation out for them.
When the response comes back unfocused, they call the AI inconsistent.
But the shift is immediate when someone says two simple things:
“Here’s the outcome I want,” and “Here’s what I don’t want.”
The answers get calmer. Shorter. More useful.
Nothing about the model changes.
Only the intent does.
Most frustration with AI isn’t about bad output. It’s about unclear intention.
2. We mistake speed for progress, and AI exposes that
A lot of people use ChatGPT the way they send emails, fast, reactive, half‑thought. They’re trying to move, not think.
The best results almost always come after a brief pause. Not a long one. Ten seconds is usually enough. Long enough to decide what the actual request is.
One sentence. One goal. One clear outcome.
That pause saves far more time than it costs.
AI doesn’t reward urgency. It rewards precision. And precision has to come from the person typing, not the tool.
3. Most people aren’t looking for answers; they’re looking for relief
This one took me the longest to notice.
A lot of people aren’t using AI to think better. They’re using it to make the discomfort stop. They want reassurance. They want the feeling that something has been handled.
But AI doesn’t calm mental chaos. It reflects it.
Clear input leads to calm, focused output. Messy input leads to more mess, just faster.
Once this clicked for me, everything made sense. AI didn’t suddenly get smarter this year. It just stopped compensating for vague thinking.
When I changed how I showed up to the conversation, the tool stopped feeling complicated.
That’s what I help people with now.
Not prompts.
Not hacks.
Not tricks.
Just learning how to think clearly before AI gets involved, because when the thinking is solid, the technology finally feels simple.
Tooling for Trust: Building Your Seatbelt for the AI Era
It’s not hackers that worry me most.
It’s good people, smart, careful people, pasting client data into an AI tool because they just needed something done faster.
AI risk isn’t about headlines. It’s about inputs, what we feed the machine, knowingly or not.
And in this new world, you’re only as safe as your rules.
That’s why I built the AI Risk & Policy Toolkit, not to make anyone paranoid, but to give every business something they’ve never had before: a seatbelt for the AI era.
It doesn’t turn you into a compliance lawyer. It helps you stay confident while your team experiments, creates, and automates.
Inside, you’ll find:
Leak Mapping Worksheet – to spot where your data quietly slips into third-party tools.
Tool Vetting Checklist – five questions to test whether an AI tool deserves your trust.
AI Policy Templates – clear, editable rules you can drop straight into your team handbook.
Quarterly Review Sheet – a simple ritual to stay proactive instead of reactive.
The moment you write it down, panic turns into process.
That’s the point. You protect your business before you ever need protection.
If this sparked something in you, come say hello on LinkedIn; that’s where I share the deeper lessons, tools, and systems behind ConfigurAI.
For the human side, the messy experiments, reflections, and moments that shape the work, you’ll find that on Instagram.
And if you want to see how it all connects, the business, the story, the mission, it’s all at orgesameli.com
Because what we’re building here isn’t just about AI.
It’s about making technology feel human again
Thanks for reading,
See you next Tuesday with more ways to cut the busywork and get your time back.
Orgesa Meli
P.S. It would mean a lot if you forward this to someone who’d benefit. I’m building a community of people who want to work smarter with AI, not just a list of names. Subscribe to my community here.
