Reasoning is a Loop
The greatest barrier to AI adoption isn’t technical capability. It’s your expectation.
We have been sold a lie. Marketing demos show a user typing one sentence—“Make me a video game”—and getting a perfect result instantly.
This sets a “One-Shot Expectation.” When you try this in real life, you get a hallucination. You get generic fluff. You think: “This tool is stupid.” And you quit.
But the tool isn’t stupid. You are using a reasoning engine like a search engine.
The Trivia vs. The Work If you need the definition of a medical term, use Google. That is Trivia. One-shotting works for trivia because the answer is static.
If you are coding in Cursor, writing strategy in Gemini, or analyzing logic, that is Work. Work is dynamic. Work requires reasoning. Reasoning is never a straight line.
The First Answer is Scaffolding I never accept the first answer from an AI. In fact, I rely on the first answer being imperfect.
If I ask Gemini for a strategy and the output is generic, I don’t get frustrated. I use it as a mirror.
The AI was generic because my prompt was vague.
The AI hallucinated because I didn’t provide constraints.
The first answer is not the Output. The first answer is the Input for the real work.
The “Ladder” Protocol Don’t look for a miracle. Look for a sparring partner. My workflow for high-leverage tasks (coding, writing, strategy) is always a loop:
The Dump: I ramble my intent. The AI returns structure (usually wrong structure).
The Pivot: I attack the errors. “You assumed X, but I meant Y.”
The Convergence: The AI corrects course. Now we are thinking together.
The Final: We reach a truth I couldn’t have found alone.
The Contrarian Truth Everyone wants AI to be a “Genie”—a magic voice that grants wishes instantly. But AI is actually an “Intern”—a tireless worker who needs specific direction.
If you fire the intern after one bad draft, you are a bad manager. If you quit AI after one bad prompt, you are a bad thinker.
Stop trying to one-shot the future. Iterate your way there.