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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 taskPull the latest performance data for the 'Summer Sale' campaign from the last 7 days. Include…+
Pull the latest performance data for the 'Summer Sale' campaign from the last 7 days. Include impressions, clicks, conversions, and cost. Get this to the sales team by 10 AM for their morning brief.
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 pull the daily performance report for the 'Holiday Deals' campaign, make sure the data…+
Before I pull the daily performance report for the 'Holiday Deals' campaign, make sure the data is fresh and accurately reflects yesterday's activity. Check for any data discrepancies or delays that might skew our understanding of campaign health.
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 client just called asking why yesterday's conversion numbers look so low, but when I check…+
The client just called asking why yesterday's conversion numbers look so low, but when I check the platform, they seem fine. I'm worried the data isn't refreshing correctly, or that I'm looking at the wrong date range, and I don't want to give them incorrect information. What's the most likely reason for this discrepancy, and how do I confirm the data is accurate before responding?
The client just called asking why yesterday's conversion numbers look so low, but when I check the platform, they seem fine. I'm worried the data isn't refreshing correctly, or that I'm looking at the wrong date range, and I don't want to give them incorrect information. What's the most likely reason for this discrepancy, and how do I confirm the data is accurate before responding?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternI often find myself pulling data for reports only to realize it's not the most up-to-date,…+
I often find myself pulling data for reports only to realize it's not the most up-to-date, leading to last-minute scrambles and delayed insights.
I often find myself pulling data for reports only to realize it's not the most up-to-date, leading to last-minute scrambles and delayed insights. What habit should I change to ensure I'm always working with the freshest data, especially when preparing for client meetings or internal reviews?
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 Google Ads'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.