If you’re already using AI to write an email, brainstorm an idea, summarize something, research a topic, or help you get unstuck, good.
You’ve started.
And that matters, because the hardest part for a lot of people is simply opening the tool and figuring out what to do with it.
But there’s a big difference between using AI every once in a while and actually working with AI.
That’s the part I’m interested in.
Because once you get past, “Write this email for me,” or, “Give me ten social media ideas,” there’s a whole other level of usefulness sitting there.
You don’t necessarily need another AI tool.
You probably don’t need a hundred better prompts either.
You need to start giving AI more of what it needs to understand the work you’re actually doing.
A prompt is only part of the picture
Let’s say you ask AI:
“Write a follow-up email.”
It can do that.
But what does it know?
Who are you following up with?
What did they ask you about?
What have you already promised them?
What’s your tone?
What outcome do you want from the email?
What should it absolutely not say?
Without that information, AI has to fill in the blanks.
And when AI fills in too many blanks, you tend to get something that technically works but doesn’t really sound like you, fit the situation, or move the work forward.
Now give it the client’s last message, your tone, the history of the conversation, what you promised, and what you want to happen next.
Different result.
Same AI.
Better context.
That’s one of the biggest shifts people can make without learning anything terribly technical.
Stop starting from zero
One of the most exhausting ways to use AI is to treat every conversation like the first conversation you’ve ever had.
You explain your business again.
You explain your audience again.
You explain how you like things written again.
You explain the same process again.
Then you come back tomorrow and do it all over.
That’s still useful, but it’s not a very good way to work.
Start asking yourself what information AI would need repeatedly.
Your business.
Your role.
Your customers.
Your voice.
Your goals.
Examples of work you like.
Things you never want it to do.
The steps in a process you perform every week.
The more of that reusable context you organize, the less often you have to start from a blank box.
That’s when AI starts becoming part of a way of working instead of something you visit when you need a quick answer.
Look at the work, not just the tool
This is where I think a lot of AI education gets backward.
People start with:
“What can ChatGPT do?”
“What can this new AI app do?”
“Should I be using agents?”
I’d rather start somewhere else.
What takes too long?
What do you keep doing manually?
What do you repeat every week?
What keeps falling through the cracks?
What do you wish you had more time for?
Bring me that.
Then we can look at whether AI can help.
Sometimes the answer might be a simple conversation with AI.
Sometimes it might be a reusable set of instructions.
Sometimes it might eventually become a workflow or an automation.
And sometimes the answer is that AI shouldn’t be involved at all.
That’s okay too.
The goal isn’t to put AI everywhere.
The goal is better work.
Break the work down
Another mistake is asking AI to solve something that’s simply too big.
“Run my marketing.”
“Fix my operations.”
“Automate my business.”
Those aren’t really tasks. They’re collections of dozens or hundreds of smaller tasks, decisions, inputs, and judgment calls.
Instead, go smaller.
What happens first?
Then what?
What information do you need?
Where does that information come from?
What part requires judgment?
What part is repetitive?
What part do you hate doing?
Maybe AI doesn’t need to “run your marketing.”
Maybe it needs to help turn one weekly meeting transcript into three follow-up emails and five pieces of useful content.
That’s a real job.
Now we can work with it.
Your judgment still matters
Using AI more doesn’t mean handing your brain over to it.
You still need to know what good looks like.
You still need to check important work.
You still need to notice when something is wrong, incomplete, awkward, inappropriate, or just not you.
And the higher the stakes, the more that matters.
AI can help you think.
It can help you organize.
It can help you move faster.
It can help you see options you might not have considered.
But your judgment is still part of the system.
That isn’t a limitation.
That’s the point.
Start with one thing
You don’t have to become an AI expert this week.
You don’t need an agent running around your company.
You don’t need seventeen subscriptions.
Pick one piece of work you already do.
Preferably one that annoys you.
Something repetitive.
Something that takes longer than it should.
Something you keep putting off.
Then ask:
What would AI need to know to help me do this better?
Not just, “What prompt should I type?”
What context would it need?
What examples?
What constraints?
What does a good result actually look like?
What part should I still review myself?
That’s a much more useful place to start.
You’re already using AI.
Now it’s time to stop treating it like a little box you occasionally ask questions and start figuring out where it genuinely belongs in the way you work.
That’s where things get interesting.