The model is a mirror with a memory.
Ask it something blurry,
and it hands the blur back,
polished until it shines.
That shine fools people.
It looks like an answer
because it is fluent,
because it is fast,
because it never once said "I am not sure what you mean."
But it answered the question you typed,
not the one you had.
The gap between those two
is where your day quietly goes wrong.
Say "make this better"
and it guesses what better means.
Say "make this faster without changing the output,
here is the shape of the input,
here is the limit I cannot cross,"
and it stops guessing.
The clearer you get,
the smaller its room to be wrong.
A vague prompt is not the model failing you.
It is you asking a stranger
to read your mind
and calling it magic when it can't.
The skill was never the clever wording.
It is the thinking you do
before the words.
Knowing what you actually want.
Knowing what you will not accept.
Knowing the one constraint that matters most.
That thinking is not the model's job.
It never was.
The machine can draft, list, and rephrase.
It cannot decide what good looks like for you.
So spend the effort up front.
State the goal.
State the limit.
State the thing you already tried.
You are not writing a prompt.
You are writing the spec you were always supposed to write,
and the machine just made the cost of skipping it
finally visible.
Vague in, confident fog out.
Sharp in, and it becomes
the fastest way to think you have ever held.
The quality of the answer
is set before the model reads a word.
It is set by how honestly
you know the question.
– Serguey Asael Shinder
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