prompt template, three of the 99 rebuilt in full — /audit, /hookmaster, /diagnose — and three tests for whether your prompt is doing any work at all.
Save this one. You will want the five fields the next time an answer comes back polished and empty.
mean of the role: confident, well-organised, correct-sounding, generic. That is the real reason ChatGPT gives generic answers. Not the model. The missing fields.
And a visibly bad answer gets thrown away. A plausible one gets shipped.
Swipe for the five-field ChatGPT
That conditioning is real — role prompting does shift vocabulary, framing and default structure. /negotiator reads differently from /teacher. But it is thin, because register is the only thing you specified.
Here is the prompt engineering framework the shortcut lists leave out.
25 Linux commands you’ll actually use. 🐧💻
You don’t need to memorize every Linux command.
You need to know the right commands for the right job.
https://t.co/4Wobvv5QfC
workflows.
Start small. Practice daily. Build systems.
📌 Save this carousel — you’ll come back to it.
↗️ Share it with someone learning Linux.
👤 Follow @GhanshyamSpeaks for practical AI, technology & productivity insights.
#Linux#LinuxCommands#LinuxTips#LinuxForBeginners
The future isn't something we wait for.
It's something we build.
Not alone.
But through people who dare to think differently.
Ideas that refuse to stay ordinary.
And action that turns possibility into reality.
https://t.co/4l084YNoVW
Because ideas are everywhere.
Execution is rare.
The people who create real impact aren't necessarily the ones with the most ideas.
They're the ones who can connect:
IDEAS → PEOPLE → ACTION → IMPACT
And perhaps that's how a brighter tomorrow is actually created.
One better question.
One courageous decision.
One meaningful action at a time.
Don't just predict the future.
#BuildIt.
—
💬 What is ONE idea you believe could create a better tomorrow?
Drop it below. Someone reading this might be the person who helps bring it to life.
https://t.co/ekXNvyxwfT
99 ChatGPT shortcuts. Zero of them are shortcuts.
A role token fills one slot in five:
ROLE — who's speaking
OBJECT — what it works on
CONSTRAINT — what it can't do
CONTRACT — the shape of the answer
FAILURE — what makes it wrong
A frontier AI model failed at renaming a variable. A weaker one shipped a working feature. Same codebase, same day.
The difference wasn't intelligence. It was context.
https://t.co/TjxbaOXYVL
you don't have an intelligence problem. You have a visibility problem.
A harness is three things:
→ what the model can see
→ what it can actually run
→ how fast it learns it was wrong
Give it the file, the error output, the failing test, and a way to retry. A mediocre model
Before you shop for a smarter model — ask what you never showed the one you have.
Send this to the teammate who keeps asking which model to switch to. Save it for the next "why is the AI so dumb" moment.
What's the dumbest thing a frontier model has failed at for you this week?
starts looking capable. Take those away and the best model on earth is guessing confidently.
Better models are real and worth having. But upgrading the model raises a ceiling you're nowhere near. Upgrading the harness raises the floor you're standing on.