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Troubleshoot image display in emails

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 taskFix the header image in the 'Summer Sale' email draft so it shows up correctly on phones before…+
Fix the header image in the 'Summer Sale' email draft so it shows up correctly on phones before I send the test to Sarah this afternoon.
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 the 'New Arrivals' email, make sure all the product images load fast and look…+
Before I send the 'New Arrivals' email, make sure all the product images load fast and look good on every device, especially older phones, so customers don't abandon the email before seeing the offers.
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 images in this morning's 'Flash Deal' email look great on my laptop but are broken on my…+
The images in this morning's 'Flash Deal' email look great on my laptop but are broken on my iPhone, and I'm getting worried customers won't see the products. The deal expires at midnight, and I can't figure out why it's only on phones. What's the fastest way to diagnose and fix this before we lose sales?
The images in this morning's 'Flash Deal' email look great on my laptop but are broken on my iPhone, and I'm getting worried customers won't see the products. The deal expires at midnight, and I can't figure out why it's only on phones. What's the fastest way to diagnose and fix this before we lose sales?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternImages in my emails often look fine when I build them but break on different devices once sent,…+
Images in my emails often look fine when I build them but break on different devices once sent, costing us credibility and sales.
Images in my emails often look fine when I build them but break on different devices once sent, costing us credibility and sales. I waste so much time manually checking every device. What habit can I change to ensure images always display correctly across all platforms, saving me time and preventing customer frustration?
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.