◆ LinkedIn

InMail a prospect

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 want to InMail Priya Shah, head of hiring at Solstice Health, about the open director role.…+
I want to InMail Priya Shah, head of hiring at Solstice Health, about the open director role. Write a concise InMail: one sentence why I’m reaching her directly, one sentence of credibility with measurable results, one sentence linking my background to the role, and a one-line call to action proposing a 15-minute call next week. Keep it under 150 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 send Priya Shah an InMail, surface what would make her hesitate: lack of healthcare…+
Before I send Priya Shah an InMail, surface what would make her hesitate: lack of healthcare experience, overqualified tone, or unclear availability. Move the most relevant metric to the top, shorten career history to one line, and suggest two subject lines likely to get a reply.
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 can InMail Priya Shah but I don’t know if my note will overcome her spam filters and HR…+
I have 25 free InMail credits and one strong prospect.
I can InMail Priya Shah but I don’t know if my note will overcome her spam filters and HR workload. I’m afraid a generic pitch will be ignored and a long CV will annoy her. What is the likeliest reason she won’t reply and what’s the best compact InMail that actually gets a call?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternI send InMails regularly to hiring leads but they rarely convert. Am I failing at targeting,…+
My InMails rarely convert to interviews.
I send InMails regularly to hiring leads but they rarely convert. Am I failing at targeting, message framing, or timing? Recommend one repeatable habit to change that will raise conversion in the next month.
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.