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- When good AI goes bad
Last month, a friend showed me his new brand identity.
Stunning work. Clean, professional, perfectly captured his brand's personality. The designer just got it.
Two weeks later, another friend hired the same designer. Same brief. Same budget.
The result? Let's just say it looked like a rough draft that got sent by accident.
And that's the thing about outsourcing any work these days - it's like playing roulette with your time and money.
Sure, sometimes you get lucky. You find that rare professional who gets it. But most of the time? You're stuck in revision hell, trying to explain your vision to someone who's clearly not getting it.
Technically, to get the best results, you'd test 10 different professionals for any critical project and pick whoever delivers the best work. But who has that kind of time or budget? So, instead, you roll the dice, cross your fingers, and hope this one works out.
Most businesses are stuck in this situation: They're playing hiring roulette because they're too scared or overwhelmed to adapt to AI. They're paying premium prices for inconsistent results. They're wasting hours on revision cycles that shouldn't be necessary.
It doesn't have to be this way.
Right now, companies looking to dominate their industry are scaling faster and getting great work done consistently.
Why? Because they've cracked the code to make AI deliver reliable results every single time.
That's precisely why I built the Future Proof DNA System - to give you the exact framework these companies use to stop gambling on inconsistent results and start getting predictable wins with AI.
If you're ready to join them, I'm doing a limited pre-sale launch before the official release.
Talk soon,
Phil
