◆ LinkedIn

Save a job posting

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 taskSave this UX designer job at PixelWave that I liked. Add it to my saved jobs list, tag it with…+
Save this UX designer job at PixelWave that I liked. Add it to my saved jobs list, tag it with “portfolio-required” and “mid-senior”, and set a reminder to re-open the posting in five days to check for updates or new recruiter comments.
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 I archive this posting, make it easier to decide whether to apply. Pull the application…+
Before I archive this posting, make it easier to decide whether to apply. Pull the application deadline if present, surface must-have skills and nice-to-have skills, highlight whether a portfolio is explicitly required, and flag any dates for interviews or start that would conflict with my notice period.
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
CDecide — diagnose the stuck momentI saved a UX designer posting at PixelWave two days ago and now it’s gone from my saved list.…+
I saved a job and later found it removed
I saved a UX designer posting at PixelWave two days ago and now it’s gone from my saved list. I’m worried I missed a closing window or the company filled the role. I don’t know if it was removed by the poster, hidden by the platform, or a bug. Should I message the recruiter directly to check availability, look for the role under the company’s career page, or assume it’s gone and move on? What one quick action gives the clearest answer?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternI save many postings during weekend searches but end up never applying and waste time later…+
My saved jobs pile up and I never act on them
I save many postings during weekend searches but end up never applying and waste time later deciding. Where am I losing productivity — saving indiscriminately, failing to tag for priority, or not setting short reminders — and what single change should I make to turn saved jobs into actual applications twice as often?
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.