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The more I work with AI, the more it reminds me of a real employee. And not a bad one either. Actually, quite the opposite.
When we talk about automation, we often think of cold, mechanical scripts. But LLMs (Large Language Models) have brought a “personality” to our workflows that feels surprisingly human.
First, it tries really hard. You know that feeling when someone just started a new job and is pushing to show maximum output? AI has that same energy. It doesn’t just do the task; it does it with a level of dedication that feels like it’s trying to impress you.
Second, it doesn’t get irritated. This is also typical for the first months in a new team before the burnout or office politics kick in. You can ask it to refactor the same function ten times, and it will respond with the same politeness every single time.
Third, it’s excessively proactive. Nobody asked, but it went ahead and invented something extra, added stuff, changed things. Sometimes this is exactly what you need; other times, it’s like a junior developer adding a library they found on Reddit to a production codebase.
And of course, mistakes. Just like any person, it makes mistakes and genuinely seems surprised at the end by how it happened. It hallucinates with the confidence of an expert, and when caught, it apologizes just like we do.
I constantly catch myself thinking while working with AI:
In the end, AI isn’t just a tool. It’s a reflection of how we work, how we communicate, and how we fail. Understanding this “personality” is key to managing it effectively. You don’t just “use” AI; you “hire” it into your workflow.
ilf.studio — AI-native web studio, Gdansk, Poland.