You open LinkedIn on a Tuesday morning.
Three posts in, someone’s already made $40k using a “simple AI workflow” they built over a weekend.
By post six, a 24-year-old founder just replaced his entire ops team with Claude and saved $200k a year.
By post ten, you’re wondering what you’ve done with your life.
That’s the AI comparison trap. And it’s working exactly as designed.
The Contradiction Nobody Says Out Loud
The vast majority of people posting about their AI wins are the ones teaching it in their Skool community without ever actually implementing it in real business workflows.
They’re not ahead of you. They’re just better at looking like they are.
I’ve watched this pattern long enough to know how it works. You get a bold claim like “I replaced my $150k hire with a $20/month AI automation.”, zero to little context and the course link in their bio.
What they don’t mention: it took 3 days to build, no reliability, no results listed, and still needs someone to babysit it every week.
That’s not dishonest in a legal sense. But it’s not honest either.
The Guru Formula
I just noticed how AI content runs on a specific formula.
It usually goes as I said: bold claim, “clean” framework, course link in bio. What gets cut: the eighteen iterations that failed, the client who almost fired you, the weekend Claude almost deleted your entire database.
You see the finish line. Never the wrong turns.
And the finish line is designed to make you feel like you’re standing still.
What It Actually Looks Like
I build AI systems for real businesses. Lead qualification, content automation, customer support workflows, marketing pipelines.
Here’s what the process looks like: messy. Like, really messy.
Well, to begin with, the client doesn’t even know what they need. They just say something like:
I want AI and my sales pipelines automated.
You start with one suggestion. You listen. You empathize. Then you realize the pain is somewhere completely different from where you thought.
Everything you planned to build is suddenly wrong. You dig further, and it turns out the problem isn’t in their sales pipeline at all. It’s in their marketing.
An hour later you have a direction. You send the proposal. They sign off. You start building.
And here it starts looking even messier.
Version one doesn’t work. Version two kind of works. Version three works until something unexpected happens. Version four is something I’d actually show a client.
Nobody posts about this initial chaos or about versions one through three. Not because they’re hiding it. Because it doesn’t perform.
LinkedIn rewards the highlight reel. So that’s what gets made.
A Real Project
I recently worked with a B2B e-commerce company. They came in wanting one thing: a simple content workflow to save their team a few hours a week and boost their presence on LinkedIn, Facebook, and other platforms.
One discovery call. One and a half hours. That’s where we figured out what they actually needed versus what they asked for.
They didn’t need a content system. They needed a personalized database reactivation mechanism that would scale for their client base.
The proposal was sent. They signed off. Then the real work started.
Five to six days of planning before a single workflow was built. Not because it’s slow. Because if you skip that phase, you spend three weeks going back and forth on things you could’ve locked down in one session.
We mapped out three interconnected systems for their marketing campaign.
None of that was on the original brief. All of it became necessary once we understood the actual problem.
You won’t often see that version of the story on LinkedIn.
You’re Not Behind
The founders I’ve seen actually win with AI don’t spend much time watching what everyone else is doing.
They’re too busy on their own version one.
That’s it, really. Sit down with the actual problem, build through the mess, ship version four. Stop watching other people’s finish lines.
The gurus are optimizing for attention. You’re building something real. Those are not the same race.
Build Faster. Not Scroll Faster.
Next time you feel the pull to read another “AI saved my business” post, ask yourself one question: am I learning something specific, or am I watching someone else’s highlight reel?
If it’s the latter, close the tab.
You already have enough information to start. What you need is a version one.
Before you take any AI content at face value, just ask yourself three questions.
First: what did version one look like? If they’re not showing the failures, they’re most probably selling you the highlight reel.
Second: how long did it actually take? “Built over a weekend” is almost always fiction. The real timeline includes debugging, revisions, and something like two days where nothing worked.
Third: does this apply to your specific situation? A workflow built for a 10-person SaaS company is completely useless for an agency or an e-commerce business. Context isn’t a footnote. It’s the whole point.
If a piece of content can’t answer those three questions, move on. There’s real work to do.
PS: by the way, I’m running this contest now. The first 10 to comment “stack” under this post get the full No BS AI tool stack that I use in my day-to-day workflows to grow the agency. Worth bookmarking.
Chat soon,
Ilya
The part about clients asking for one thing and the real problem being somewhere else feels very real. AI implementation seems less like prompting and more like diagnosis.
The only way to get “better at AI” is to use AI. The process is much like making music, the old way. Think of all the great bands of the past, from the Beatles to Pink Floyd to whomever. They would go onto a studio with not fully completed songs, but concepts. Then, they would jam, they would labor, they would collaborate, they would sometimes not use what they created, saving it perhaps for the next album. That, is the same with AI. The output does not appear instantly. It takes time.