How I Decide What to Trust
The AIYING Method — Post #002: When Explanations Feel Convincing
A good explanation can feel like understanding.
Clear logic. Smooth flow. Neatly arranged thoughts.
And without realising it, the mind relaxes.
Not because you verified it —
but because it was explained well.
That is where discernment quietly weakens.
The modern friction: Clarity replaces curiosity
In the age of AI, explanations arrive fully formed.
You don’t have to struggle through complexity.
You don’t have to wrestle with ambiguity.
Everything feels already sorted for you.
And when something feels sorted,
the urge to question disappears.
You stop asking,
“Is this complete?”
because it feels complete.
The AIYING move I use
I don’t ask AI to explain further.
I ask this instead:
“What is missing from this explanation?”
Sometimes I add:
“What would a domain expert say is oversimplified here?”
That’s all.
Why this works
This question brings back curiosity.
Instead of being satisfied by what is present,
you start noticing what is absent.
And what is absent is often where the real understanding lives.
AI is excellent at organising information.
Discernment begins when you examine what wasn’t organised.
What actually changed for me
I stopped mistaking clarity for depth.
I began to see explanations as starting points, not conclusions.
Over time, I noticed I was thinking more, not less, after reading AI responses.
That is when I knew judgement had returned.
Try this today
The next time AI gives you a neat, convincing explanation, pause.
Ask:
“What is this explanation not telling me?”
Let the gaps appear.
Because in the age of intelligent explanations,
understanding begins where comfort ends.
This post is part of AIYING — The Discipline of Accomplishing with AI
Arc 4 — How I Decide What to Trust
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