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This is real work, not a feature someone invented — it comes from real job ads and real questions people asked. Below are four ready AI prompts: get it done, make it easy for the next person to say yes to, work out the right move when you are stuck, and stop it coming back.

4prompts

The same task, four prompts

today's deadline · the next reviewer · the stuck moment · the pattern
AExecute — do the immediate taskShow me the performance metrics for our 'Spring Product Launch' campaign from last month,…+
Show me the performance metrics for our 'Spring Product Launch' campaign from last month, specifically focusing on click-through rates and conversion rates.
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
BImprove — make it easier to acceptBefore my meeting with the product team tomorrow, analyze the 'Spring Product Launch' campaign…+
Before my meeting with the product team tomorrow, analyze the 'Spring Product Launch' campaign data. What were the top three performing ad creatives, and what insights can we draw about why they resonated? Also, highlight any unexpected audience segments that engaged well.
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
CDecide — diagnose the stuck momentThe VP of Marketing just asked for a quick update on our content's impact, but I'm seeing…+
The VP of Marketing just asked for a quick update on our content's impact, but I'm seeing conflicting engagement numbers across different reports.
The VP of Marketing just asked for a quick update on our content's impact, but I'm seeing conflicting engagement numbers across different reports. I'm afraid of presenting inaccurate data, and I can't tell her I'm still figuring out which numbers are reliable. What's the most likely reason for these discrepancies, and what's the best next move to quickly get a consistent, trustworthy view of our content's performance before the end of the day?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternI constantly struggle to quickly pull together a clear, concise report that answers specific…+
I constantly struggle to quickly pull together a clear, concise report that answers specific questions from stakeholders.
I constantly struggle to quickly pull together a clear, concise report that answers specific questions from stakeholders. I spend too much time digging through raw data and synthesizing it. What habit should I change to become more efficient at extracting meaningful insights and presenting them effectively, especially when I'm under pressure for immediate answers?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?

Questions people actually ask

honest answers, no sign-up

Every task here was seen in the real world. Someone doing the job named it, a real job ad asked for it, or a lot of people asked about it online.

If nothing real showed a task, it is not on the page. That is the whole rule.

They are the same job approached four ways, because what you need depends on where you are.

Get it done today. Make it easy for the next person to say yes to. Work out the right move when you are stuck. Learn the pattern so the job stops coming back.

For most of these jobs it can carry the heavy thinking - draft it, sort it, check it, rehearse it with you.

It cannot sit in your chair, take the blame when a number is wrong, or notice what nobody wrote down. Let it do the first 80%. Keep the last 20% that is truly yours.

No. Copy any prompt and paste it into the AI you already use. No account, no score, no wall in the way.

Any of them. The prompts describe the work rather than naming a product, so they are not tied to one assistant.

That is also why they keep working when you switch.

Change it freely. Every prompt is a starting line, not a rule.

Put in your real numbers, your real names and your real deadline. The more you make it yours, the better the answer comes back.

The tasks come from real job ads, published job data and the questions people ask in public forums.

The steps come from LinkedIn's own documentation, with practitioner sources for the traps the manual does not mention.

Push once. Ask it to sharpen the weakest part and to say what it assumed.

Most wrong answers come from a missing detail rather than a bad prompt - tell it the thing it could not know.