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Vipulpapriwal @VipulPapriwal Equal opportunity for creators fires me up. It's the key to unlocking human ingenuity! I want to chase truth and spark curiosity, I hate seeing talent wasted by gatekeepers like big tech monopolies, VC insiders or fleeting memecoin hype. These barriers crush diversity, stall 4 7:08 • 11 Dec 2025

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I Didn’t Expect a QR Code to Teach Me This Much About Crypto
How exploring QRcoin.fun quietly changed how I think about attention, distribution and onchain markets.
ProductClank
Vipulpapriwal @VipulPapriwal Equal opportunity for creators fires me up. It's the key to unlocking human ingenuity! I want to chase truth and spark curiosity, I hate seeing talent wasted by gatekeepers like big tech monopolies, VC insiders or fleeting memecoin hype. These barriers crush diversity, stall 4 7:08 • 11 Dec 2025

How to Lose the $1M X Article Contest
Hey, with everyone chasing that million-dollar Article prize right now, the timeline is wild. Tons of creators pouring heart into long-form pieces, respect!


I’ve noticed something interesting while using AI tools.
Many of us don’t struggle because the tools are weak. We struggle because we overprompt.
Overprompting usually looks like this:
Long instructions
Too many conditions
Explaining every step in advance
The intention is good.
But the result is often worse.
When prompts get crowded, the output loses focus. The model tries to satisfy everything and ends up doing nothing well.
What works better is clarity, not control.
A short prompt with a clear goal almost always performs better than a long prompt with many rules.
How to avoid overprompting
Be clear about the outcome before writing the prompt
Start simple and add only if needed
Give direction, not a full process
Let the first response exist before correcting it
Overprompting isn’t a technical mistake.
It’s a thinking habit.
I’ve noticed something interesting while using AI tools.
Many of us don’t struggle because the tools are weak. We struggle because we overprompt.
Overprompting usually looks like this:
Long instructions
Too many conditions
Explaining every step in advance
The intention is good.
But the result is often worse.
When prompts get crowded, the output loses focus. The model tries to satisfy everything and ends up doing nothing well.
What works better is clarity, not control.
A short prompt with a clear goal almost always performs better than a long prompt with many rules.
How to avoid overprompting
Be clear about the outcome before writing the prompt
Start simple and add only if needed
Give direction, not a full process
Let the first response exist before correcting it
Overprompting isn’t a technical mistake.
It’s a thinking habit.
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