AI shouldn’t just help us think more.
It should help us know:
when we’re thinking productively
vs
when we’re just thinking beautifully
That distinction matters.
AI shouldn’t just help us think more.
It should help us know:
when we’re thinking productively
vs
when we’re just thinking beautifully
That distinction matters.
From a product lens, that’s the real opportunity:
Not “more tokens.”
Not “higher limits.”
Not “faster responses.”
But tools that help you:
• exit loops when needed
• stay in them when useful
• convert reflection → direction
• turn cognition into motion
From a product lens, that’s the real opportunity:
Not “more tokens.”
Not “higher limits.”
Not “faster responses.”
But tools that help you:
• exit loops when needed
• stay in them when useful
• convert reflection → direction
• turn cognition into motion
And honestly, that’s not a bad place to be.
Because that grey zone -
between output and exploration,
between clarity and curiosity,
between action and abstraction -
that’s where new products are born.
And honestly, that’s not a bad place to be.
Because that grey zone -
between output and exploration,
between clarity and curiosity,
between action and abstraction -
that’s where new products are born.
Like…
Am I producing value?
Or am I just orbiting ideas beautifully?
Not spiraling.
Not stuck.
But definitely circling.
Thinking about thinking.
Designing thinking.
Refining questions.
Recursive cognition.
Like…
Am I producing value?
Or am I just orbiting ideas beautifully?
Not spiraling.
Not stuck.
But definitely circling.
Thinking about thinking.
Designing thinking.
Refining questions.
Recursive cognition.
But when I paused, a different feeling showed up too.
Looking back at everything I’ve done with it:
• frameworks
• workflows
• systems
• strategies
• questions
• abstractions
And I couldn’t fully tell where the line is between:
real output and thinking loops.
But when I paused, a different feeling showed up too.
Looking back at everything I’ve done with it:
• frameworks
• workflows
• systems
• strategies
• questions
• abstractions
And I couldn’t fully tell where the line is between:
real output and thinking loops.
I almost maxed out my Claude limits today.
And weirdly… it felt really good.
Not in a flex way.
More like: “okay, I’m actually using this thing properly.”
Getting my money’s worth.
Getting my mind’s worth.
I almost maxed out my Claude limits today.
And weirdly… it felt really good.
Not in a flex way.
More like: “okay, I’m actually using this thing properly.”
Getting my money’s worth.
Getting my mind’s worth.
@naval Making it actionable -
> “If an LLM trained on everything I’ve ever posted tried to predict my next tweet/article/decision, where would it be confidently wrong? How can I expand that gap?”