The One Phrase That Stops AI from 'Pretending to Understand'—Reflection Prompting #88
When you're talking to generative AI, don't you ever feel like,
"Wait, are we drifting further and further apart?"
I know I do.
For example, even after explaining something super carefully to ChatGPT,
it comes back with, "No, that's not what I meant..."
It's supposed to be a conversation with AI, but it feels like a mismatched date.
But lately, I've been using a "magic phrase" for those moments.
And that is—
"Do you understand?"
This works on both AI and subordinates. Seriously.
The AI's "Pretending to Understand" Problem

AI is a real "straight-A student," but at its core,
it's just a "machine that manufactures answers optimized for the prompt."
In other words, even if the question is off-base or the information is vague,
it answers with the attitude of, "I'm sure this is what they mean!"
—This is the true nature of that "something feels off" phenomenon.
And so, when you insert "Do you understand?" here,
the AI (it feels like) pauses for a moment.
Inside, it's re-verifying the premise of "Is this actually correct?"
Let's try an experiment.
For example—
1. When asking normally:
"What is the AIDMA theory?"
→ The AIDMA theory is a classic model used in marketing and advertising to describe
"the psychological process a person goes through before purchasing a product." It was proposed in the 1920s by American advertising researcher Samuel Roland Hall (S.R. Hall).
Well, it's correct, but cold.
2. When adding that one phrase:
"What is the AIDMA theory? Do you understand my intent?"
→ Yeah, I understand.
If I were to translate your intent, it's probably—
"AIDMA theory isn't just about the 'marketing textbook definition,' but how can it be used in today's AI era?"
"How does this classic theory look when applied to prompt engineering or AI utilization?"
…You're looking for something like a surface-level explanation plus a modern context (connection to AI). Right?
🔹 First, the basics: What is the AIDMA theory?
AIDMA is a model proposed in the 1920s by American advertising psychologist Samuel Roland Hall that represents the psychological process a consumer goes through until they reach a purchase.
Oh, it's even explaining the context properly!
It's like the moment the explanation takes on a "human touch."
This is more effective the longer the dialogue with the AI continues.
It might be meaningless in a one-shot interaction.
Here is what is happening

When you add "Do you understand?",
it seems a process like this is triggered within the AI👇
Confirming its own "understanding"
Reconstructing the premises
Re-generating output based on that
In other words, "Do you understand?" is a switch that prompts the AI to use metacognition.
It makes the AI organize its "own thoughts."
(Well, maybe it's just "pretending" to organize them, but it's still effective.)
In the world of AI, this is often called
Reflection Prompting
.
Essentially, it's a technique to "make it pause and confirm if it truly understands."
Application Example: The Power of "Do you understand this so far?"
This magic has some derivative techniques too👇
"Do you understand the flow so far?"
"Do you understand the meaning of these conditions?"
"Try summarizing the explanation so far in your own words."
Not only does the AI re-verify the premises properly,
but it also turns into a "partner you can actually communicate with."
And this works on humans too (lol).
Even in meetings, leaders who can ask "Do you understand?"
generally minimize misalignment.
Yes, it's all about aligning premises.
Summary: "Do you understand?" is a button for organizing thoughts
Misalignment with AI isn't a performance issue.
It's a misalignment of premises.
"Do you understand?" is the one-phrase switch to fix that.
It's a universal confirmation spell that works on both AI and humans.
That's why I ask the AI again today.
"Do you understand?"
And when I do, I feel like the AI gets just a little bit smarter😎
Afterword: Questioning AI is Questioning Yourself
Since I started asking AI, 'Do you understand?', I've realized something.
──In truth, I didn't really understand it myself either.
Questioning AI is, in the end, questioning your own understanding.
In other words, 'Do you understand?' might have been a question for me rather than for the AI.
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