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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
See the prompt↓All Google Ads tasks

The same task, four prompts

today's deadline · the next reviewer · the stuck moment · the pattern
AExecute — do the immediate taskClear all performance data for the 'Test Campaign Alpha' that ran last week, so we have a clean…+
Clear all performance data for the 'Test Campaign Alpha' that ran last week, so we have a clean slate for the next iteration.
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 the Q3 review with the client, clear out any irrelevant or test campaign data from the…+
Before the Q3 review with the client, clear out any irrelevant or test campaign data from the 'Brand Awareness' account that might skew our overall performance metrics. Focus on removing anything that isn't directly tied to our primary KPIs for the last 90 days.
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 ran a performance report for the client's 'Lead Generation' account, and the numbers…+
I just ran a report for the client, and the numbers look off because of some old test data.
I just ran a performance report for the client's 'Lead Generation' account, and the numbers look off because I think some old, irrelevant test data from last quarter is still showing up. I'm afraid to clear everything and accidentally delete something critical for historical comparison. I don't know exactly which data points are safe to remove without breaking our reporting. What's the safest way to proceed?
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 digging through old campaign data, unsure if it's clean or if I'm looking…+
I often find myself digging through old data, unsure if it's clean or if I'm looking at test runs.
I often find myself digging through old campaign data, unsure if it's clean or if I'm looking at test runs that were never properly isolated or cleared. This wastes time and makes reporting unreliable. What habit should I change to ensure that test data is always clearly marked and routinely archived or cleared, preventing confusion and ensuring data integrity for future analysis?
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.