◆ LinkedIn

Personalize a connection request

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’m personalizing a request to Lina, a senior recruiter at Atlas Ventures, who posted about…+
I’m personalizing a request to Lina, a senior recruiter at Atlas Ventures, who posted about diversity hiring last month. Send a connection note on Wednesday that references her post on diversity, states I’m looking for VP talent roles in fintech, and asks for a 10-minute call to learn how Atlas sources senior talent; keep tone professional but warm.
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 personalize the request to Lina at Atlas Ventures, surface the exact language from her…+
Before I personalize the request to Lina at Atlas Ventures, surface the exact language from her diversity post and two recent portfolio hires that make the note feel specific. Flag any wording that could sound like a job pitch and rewrite the note so it leads with interest in her work, not my resume.
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
CDecide — diagnose the stuck momentLina posted about diversity hiring and I want to connect without sounding like I’m pitching…+
I need to personalize a connection but worry it will read like a job pitch.
Lina posted about diversity hiring and I want to connect without sounding like I’m pitching myself. What’s the safest opening line that acknowledges her post and asks for a brief informational call, and give me a 25–30 word message that passes as genuine curiosity rather than a job application.
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternI frequently spend too much time tailoring connection requests and sometimes reuse phrases that…+
Personalized requests take too long and sometimes feel hollow when recycled language shows.
I frequently spend too much time tailoring connection requests and sometimes reuse phrases that feel inauthentic. What one practice will keep my messages genuinely specific while cutting preparation time in half? Offer the practice and two quick checks to ensure authenticity before sending.
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.