Eitan Gorodetsky

Most teams using AI are lying to themselves a little. They bought the tools, ran a pilot, put "AI-powered" in a deck — Tuesday looks the same. Real change is rebuilding the operation around AI. The only thing that lasts. What it takes 👇 eitangorodetsky.com

Most "AI-powered" teams just write faster emails. The machine underneath never changed. That's not transformation. That's a faster horse.

I read what my systems did overnight before I read the news. That's the whole shift — the work happens while you sleep, you approve it with coffee.

The scarce skill stopped being doing the work. It's designing the system that does the work. Architecture > headcount.

Let the AI do almost anything. Just control what it can touch. Then the worst case is a deleted draft, and the autonomy gets real.

You don't have an AI problem. You have a memory problem. It forgets everything the moment you close the tab — so you become its memory. Fix that first.

Before you take AI advice from anyone, ask one thing: what do you actually run on? The ones worth listening to are running what they're describing. Everyone else is selling you a horse they've never ridden.

Stop trying to control what your AI can think. Control what it can touch. Let it do real work, but write to a draft a human approves — never straight to production. The autonomy gets real and the worst case is a deleted draft. That's how I run mine.

Your AI pilot didn't stall because the model was weak. It stalled because nobody built the boring part underneath — the memory, the wiring into real tools, the written-down workflow. It's always the boring part.

A smarter model won't save a stalled AI project. I've watched teams upgrade and pray — nothing changes. The model was never the bottleneck. Nothing around it remembers anything or touches the real tools.

Everyone uses AI now. Almost nobody runs on it. That's a faster horse vs a car. Same job, completely different machine.