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Engineering Has Three Jobs

Everyone’s rebranding engineers. “AI Engineers.” “Prompt Engineers.” “Agentic Engineers.” New titles every quarter, each one implying the old work is dead. It’s noise. The job of engineering hasn’t changed—only the tools have. Engineering exists to do three things, and it has existed to do these same three things since the first human sharpened a stick into a spear.

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Ask Why AI Can't Do It

Most people trying to become AI-native are doing it backwards. They study AI tools. They watch tutorials. They read about prompting techniques. Then they go back to doing their work the same way they always have—manually. The shift to AI-native isn’t about learning AI. It’s about unlearning yourself as the default operator. Every time you start a task, ask one question first: “Why can’t AI do this?” The answer reveals exactly what you need to fix.

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One Automated Step Beats a Perfect AI Strategy

The AI landscape is overwhelming. New models drop weekly. Frameworks multiply. Social media floods with impossible-looking demos. You want to become AI-native, but where do you even start? Here’s the secret that cuts through the noise: you don’t need to understand the whole landscape. You don’t need the perfect tool. You need exactly one automated step in one workflow you already do. That’s it. One step changes everything.

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Operate Before You Automate

Everyone building AI workflows wants to flip the switch and let it run. Most of them will regret it. The rush to full automation skips a phase that cannot be skipped—the phase where you, the human, operate the workflow yourself. Not just test it. Not just watch it once. Actually run it, trigger it, review its outputs, and make the final calls. This manual phase isn’t a bottleneck to eliminate. It’s the forge that produces reliable automation.

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