There’s a complaint about ChatGPT I hear constantly, especially from professionals who want to rely on it more:
“It’s useful… but it’s inconsistent.”
What’s interesting is that this usually isn’t a model problem.
It’s a usage problem.
In practice, most people treat ChatGPT like a one‑off tool, open a chat, ask a question, get an answer, close it, repeat. Every time they do that, they reset all context. And when context resets, the output inevitably feels generic.
This week’s note is about a small but important shift that changes that experience completely, and how to set it up in a way that makes ChatGPT feel less like a search engine and more like a tool that actually understands how you work.
The real reason ChatGPT feels inconsistent
When people say ChatGPT is “hit or miss”, what they’re usually describing is this:
They’re asking it to do meaningful work
without giving it any sense of who they are or what they’re trying to achieve.
Most people open a new chat every time.
That means every interaction starts at zero.
ChatGPT doesn’t know:
what you do day to day
how you make decisions
what “good” looks like to you
what you’ve already tried
So it defaults to safe, generic answers.
That’s not a bug.
That’s exactly what you’d expect from a tool with no context.
The small shift that changes everything
The people getting consistent value from ChatGPT do one simple thing differently:
They stop resetting the context.
Instead of treating ChatGPT like a search box, they treat it like someone they’re onboarding into their role.
That shift alone explains most of the difference between:
“It’s okay, but unreliable.”
and“This saves me time every single day.”
A simple setup you can do today (10 minutes)
You don’t need prompts.
You don’t need frameworks.
You don’t need to be technical.
Just do this.
Step 1 — Create one dedicated chat
Create one chat and name it clearly, for example:
“Work – Marketing”
“Work – Founder”
“Work – Operations”
“Client Work”
This is now your main workspace.
Not a place for experiments. A place for real work.
Step 2 — Set the context once
At the top of that chat, write a short message explaining three things:
What you do
your role
your responsibilities
the type of work you deal with
What you care about
clarity vs speed
depth vs simplicity
tone (direct, calm, practical, etc.)
What a good outcome looks like
how you’ll actually use the output
what makes something useful vs annoying
This doesn’t need to be perfect.
A few honest sentences are enough.
Step 3 — Keep using the same chat
This is the part most people skip.
Use that same chat:
tomorrow
next week
for real tasks
Don’t restart. Don’t jump around.
As you work, ChatGPT starts to pick up patterns:
how detailed you like answers
when you want options vs decisions
what you usually push back on
After a few days, the difference is noticeable.
After a few weeks, it feels like a different tool.
Why this works
ChatGPT doesn’t become useful because you find the “perfect prompt”.
It becomes useful because you give it continuity.
Context compounds.
The more consistent you are:
the less you need to explain
the less generic the answers feel
the more it sounds like it gets you
Not because the model changed, but because the relationship did.
A simple rule to remember
If ChatGPT feels average or inconsistent, ask yourself:
“Does it actually know my job yet?”
If the answer is no, that’s where to start.
Once you fix that, everything else, prompts, workflows, efficiency, becomes much easier.
More soon.
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.
