◆ Mailchimp

Troubleshoot common email issues

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 taskCheck the 'October Newsletter' email draft for any broken links or images before I schedule it…+
Check the 'October Newsletter' email draft for any broken links or images before I schedule it to go out tomorrow morning.
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 this email about the new workshop goes out to our subscribers, make sure it's optimized…+
Before this email about the new workshop goes out to our subscribers, make sure it's optimized for mobile. The last one looked terrible on my phone, and I don't want to lose sign-ups because of it.
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
CDecide — diagnose the stuck momentThe flash sale email just landed, and I'm already hearing from customers that it looks broken…+
The 'Flash Sale' email went out, and I'm getting reports of weird formatting on some devices.
The flash sale email just landed, and I'm already hearing from customers that it looks broken on their iPhones, but it's fine on Android. I'm worried we're losing sales because of this, and I can't figure out why it's inconsistent. What's the most common reason for this kind of display issue, and what's my best immediate fix?
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 finding out about broken images or odd formatting in emails only after they've been…+
I frequently find out about email display issues after the campaign has already gone live.
I keep finding out about broken images or odd formatting in emails only after they've been sent, usually from customer complaints. This costs us credibility and time. What habit should I change to catch these display problems consistently before they ever reach our audience?
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.