Artificial Intelligence is a massive subject. It’s advancing rapidly and becoming deeply integrated into nearly everything we do. But I’m not here to explore every corner of AI. Instead, I want to talk about how I personally work with it, and what that experience has taught me.
To explain, let’s begin with a simple real-world analogy.
Imagine you have a house with a large backyard, and you decide to build a swimming pool. To do that, you’d need to follow some basic steps:
Contact your city or local authorities to inspect the property. They’ll ensure you’re not violating any regulations or damaging underground systems when you start digging.
Mark the area where the pool will go and begin excavation.
Now, you have two options:
Option 1: Hire 10 workers to dig the pool manually. It might take them five full days to complete the job.
Option 2: Hire a professional operator with an excavator. The heavy work could be finished in just three to four hours. Afterward, two or three workers can fine-tune the shape and clean the edges.
Both options can get the job done. In some places, the manual option might even be cheaper. But regardless of cost, there’s no question that the machine-assisted option is significantly faster.
However, there's an important detail: using a machine is not without risk. Hiring someone with the wrong equipment, or someone who lacks experience, could lead to delays or even damage your property. A skilled operator, on the other hand, knows the limits of the machine, maneuvers it with precision even in tight spaces and delivers excellent results.
This is exactly how I see working with AI. In this analogy:
You are the operator.
The machine is AI.
If you understand how to work with AI how to give the right commands, how to adapt when obstacles appear you can achieve results faster, more efficiently, and with greater accuracy. But just like with any machine, it takes skill to use AI well.
Sometimes, even the most powerful machines encounter challenges a tough material that requires a new approach or a technique adjustment. The same goes for AI. You need to understand its capabilities and its limitations. You need to know when to apply force, when to step back, and when to refine your strategy.
I grew up working with machines. It taught me something many people overlook: using a tool well means building a relationship with it. Over time, you learn its rhythm, its reactions, its quirks. You develop a kind of language only you understand.
In life, we see this connection all the time: a chef with their knife, a mechanic with their car, a rider with their motorcycle. Tools become extensions of us when we learn how to use them properly.
And like any tool, AI can be used for good or bad. It’s not the tool itself that determines the outcome it’s the person using it.
AI is a powerful tool, but to use it effectively, you need skill just like a professional operating heavy machinery. The more you understand its strengths, limits, and techniques, the more productive and safe your results will be. It's not about the tool. It’s about the user.
