◆ LinkedIn

Message a connection

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 taskI need to message Maria Lopez, a second-degree connection at BrightSide, to ask for a referral.…+
I need to message Maria Lopez, a second-degree connection at BrightSide, to ask for a referral. Open with a one-line reminder of how we’re connected through Ana Martinez, state I’m applying for the senior product role, give two brief bullets of my fit, and end asking for a 10-minute introduction. Keep it friendly and under 120 words.
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 message Maria Lopez, make it easy for her to say yes: surface the one concrete value…+
Before I message Maria Lopez, make it easy for her to say yes: surface the one concrete value she can deliver (introduce me to the hiring manager, refer internally), pull the mutual contacts and shared background that matter, and flag any sentence that sounds entitled or vague.
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 drafted a short referral request to Maria Lopez mentioning Ana Martinez, but I’m afraid it…+
I drafted a message but worry it sounds pushy.
I drafted a short referral request to Maria Lopez mentioning Ana Martinez, but I’m afraid it sounds like I’m asking for a favor out of the blue. I don’t know how close Maria and Ana are. What’s the best revision to make it respectful and increase the chance she responds?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternI keep messaging connections asking for referrals and get few replies. Where am I failing —…+
My outreach gets few replies despite many messages.
I keep messaging connections asking for referrals and get few replies. Where am I failing — subject, relevance, or timing — and what one change in my approach will improve response rates?
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.