◆ LinkedIn

Set job alerts

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
See the prompt↓All LinkedIn tasks

The same task, four prompts

today's deadline · the next reviewer · the stuck moment · the pattern
AExecute — do the immediate taskCreate job alerts for data engineering roles in Berlin that mention Python and Kafka. Trigger…+
Create job alerts for data engineering roles in Berlin that mention Python and Kafka. Trigger alerts for new postings, exclude contract and internship roles, and send email notifications immediately and mobile push during work hours. Name the alert ‘DataEng Berlin — Py/Kafka’.
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 create alerts, help me make them signal-rich and low-noise. Suggest keyword variations…+
Before I create alerts, help me make them signal-rich and low-noise. Suggest keyword variations that catch relevant roles but avoid false positives, recommend location radius and company-size filters, and propose a conservative delivery cadence so I don’t get overwhelmed while still seeing high-quality new roles promptly.
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 set alerts for growth marketing roles and now I get dozens of irrelevant listings — agency…+
I’m getting junk alerts for unrelated roles
I set alerts for growth marketing roles and now I get dozens of irrelevant listings — agency copywriter roles and sales jobs. I’m worried I’ll miss real opportunities because of noise and won’t check the feed. What quick filter changes should I make to stop junk and keep signal, and how can I test whether the new alert is actually an improvement?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternI have ten active job alerts across cities and specialities and they overwhelm me; I stop…+
My alerts flood me and I stop checking them
I have ten active job alerts across cities and specialities and they overwhelm me; I stop reading them and miss good openings. Which habit or configuration change will reduce noise but keep me timely — fewer, broader alerts; stricter keywords; or a daily digest at a set time — and what rule should I apply to prune alerts going forward so this doesn’t happen again?
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.