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Depth
Depth isn’t about more work.
It’s about more perspective.
The Shift
What we question shapes
what we uncover.
AI makes it easy to get an answer—
but real insight means asking what’s beneath it.
Depth challenges what seems obvious.
It surfaces assumptions, confronts contradictions,
and resists easy conclusions.
Thinking with depth isn’t about adding more.
It’s about uncovering more—more nuance, more complexity,
more clarity in the face of ambiguity.
This is where thinking gets layered—and learning becomes lasting.
The Shift In Practice
Thinking with depth means not settling for the surface—
not because the first answer is wrong,
but because it might not be enough.
It’s about looking again,
asking what’s missing,
and sitting with what’s uncomfortable or unclear.
When we push past the obvious, we model something powerful—
that understanding isn’t about doing more.
It’s about seeing more in what’s already there.
This shift is about moving from:
Skimming the surface → Digging into the layers
Quick answers → Nuanced thinking
Hearing the answer → Wondering what’s left unsaid
From Response to Revelation
These small shifts move us from quick conclusions to layered understanding—
from receiving answers to revealing what they truly hold.
From Using AI To Thinking With AI
Define the concept.→ What does this concept assume—and is that always true?
What’s the takeaway?→ What’s the truth that’s hardest to sit with here?
What’s the main idea?→ What’s missing from this idea—or who’s missing from it?
Explain how this works.→ What’s the part of this most people overlook?
List three facts about this topic. → What’s the story those facts don’t tell?
Ready to Rethink Your Own Prompt?
Go Deeper: Rethink Your Prompt
Depth doesn’t come from doing more.
Try reshaping a prompt so it goes beyond the surface—and challenges what you think you know..
"Help me rewrite this prompt to go deeper—
not just longer.”
Depth doesn’t come from adding more.
It comes from asking what we’ve been missing.