The Analog Gate

Preamble

The Analog Gate is the rule that makes me define intent before the machine executes.

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Intent Debt

It exists because mistakes compound differently with a capable model. A weak prompt used to produce weak output quickly. A strong model can take a vague premise, smooth over the gaps, and carry it deep into code, prose, design, or workflow before anyone notices the original decision was missing.

That is intent debt. It starts before technical debt. The code may be clean. The system may work. The problem is that no one can say why this path was chosen, what tradeoff was accepted, or which edge case was knowingly left outside the frame.

The Schema

Before execution, I owe the machine a schema. It can be handwritten, typed, drawn, or rough. It has to name the outcome, the constraints, the edge cases, and the decisions already made.

The machine then asks hard questions. What happens when this fails? Why this approach over another? What edge case am I avoiding? What does “done” mean?

I have to answer before it writes.

Learning Versus Execution

Learning is different. I can ask the machine to explain options before I choose.

Once I choose, the gate closes. The machine may own syntax and implementation. I still own the premise.

What It Catches

The Analog Gate catches intent debt before the machine compounds it.