6 months ago, @__chibugo had no AI Automation job.
No fancy workstation.
No high-paying role.
No guarantee that learning another skill would finally be the thing that changed her life.
Just a decision to try.
Today?
She’s working a full-time AI Automation role, earning well, and was even provided a complete workstation setup by her employer.
But here’s the part most people won’t show you…
The journey wasn’t smooth.
There were assignments to complete.
Concepts to understand.
Moments of confusion.
Days when showing up wasn’t convenient.
Yet she kept going.
And that’s why stories like hers don’t surprise me.
Because success in AI Automation isn’t reserved for geniuses.
It’s usually the result of ordinary people committing to learn a valuable skill and refusing to quit halfway.
Now let me ask you something…
How long have you been telling yourself that things will eventually get better?
How many months have gone by saying:
“I’ll learn a skill next month.”
“I’ll start when I have more time.”
“I’ll figure things out later.”
Meanwhile, your income hasn’t changed.
You still have to think twice before buying what you want.
You’re still postponing things you should already be able to afford.
You’re still hoping for a breakthrough instead of building one.
The uncomfortable truth?
The next 6 months will pass whether you act or not.
The only question is:
Will your life look different when they do?
For Chibugo, 6 months was enough to completely change her trajectory.
For you, it could be the beginning of your own story.
The next AI Automation Cohort starts in July.
If you’re ready to stop watching opportunities pass by and start building skills businesses are actively paying for, this is your chance.
Registration is already open and we have some slots taken already
So use the Link in the comments to secure your own slot..
See you in class.
(Full podcast will be out tomorrow 😊)
the amount of planning that goes into building an agent is unreal mehnnnn. you have to figure out the brain, write backs, mcps, prompt caching, version control etc. documentation akariala
Before you choose a freelance career path, find a mentor..
Plug into their roadmap instead of trying to figure everything out alone.
A good mentor can save you years of mistakes, confusion, and wasted effort...
A word is enough....they say..
Are you the wise or the otherwise?
I spent 5 hours building an automation to avoid a task that takes 5 minutes.
Sounds crazy until that task needs to be done 100 times. 😂
Work smart first.
Work hard second.
I’m Aje | the GoHighLevel Guy
A proud mentor moment
One of my mentees just landed a full-time GHL CRM role paying $700 weekly...(almost a Million)
Honestly, I'm so happy for her
Proof that learning the right skill can change your income faster than most people think..
If you're seeing this I'm proud of U
Somebody ordered Efo Riro, one Semo, one Pounded Yam, delivery to Ikeja Road, and not a single human being took that order.
That was Kylie. There's something about voice agents that's different from every other type of automation I've built, and I've been trying to put my finger on what it is. With a deterministic workflow, you define the logic, map every path, and the system follows it. Voice is different because the moment a human calls, none of that matters.
Humans interrupt mid-sentence; they change their order after confirming it; they ask something the knowledge base doesn't cover, and the agent has to handle all of it without the conversation feeling robotic.
The thing I kept coming back to while building Kylie was that sounding human is about how the conversation flows, the small acknowledgements, the way she confirms details before doing anything, the way she handles an unavailable time slot. Every one of those moments had to be deliberately designed.
Kylie answers calls, books reservations, takes food orders, sends confirmation emails, and logs everything, and the part I'm most proud of is that when you call her, she just sounds like someone doing their job.
Mimicking a human agent is straightforward; making something that feels like one is a completely different problem