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Update existing contacts

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 taskChange John Smith's email address to john.smith.new@example.com because he just updated…+
Change John Smith's email address to john.smith.new@example.com because he just updated us.
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 update the contact details for our VIP clients from the spreadsheet Maria sent, check…+
Before I update the contact details for our VIP clients from the spreadsheet Maria sent, check for any existing notes or tags on their profiles. I want to make sure we don't accidentally overwrite important historical data or remove their 'VIP' status.
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 just got the updated product preferences for our top 50 customers, but about a dozen email…+
Received an updated list of customer preferences, but some emails don't match our existing records.
I just got the updated product preferences for our top 50 customers, but about a dozen email addresses in the new list don't exactly match what we have. I'm afraid of creating duplicate entries or losing their old purchase history. What's the best way to reconcile these mismatches without losing data, and what's the risk if I just import the new list?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternOur customer list is constantly getting stale, with old email addresses and missing phone…+
Our contact data is always a mess of outdated emails and inconsistent information.
Our customer list is constantly getting stale, with old email addresses and missing phone numbers leading to bounced campaigns and frustrated sales calls. I feel like I'm always playing catch-up. What's a simple, regular habit I can adopt to keep our contact information accurate and useful, so we're not constantly cleaning up a mess?
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 Mailchimp'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.