◆ Google Ads

Understand Google Ads API rate limits

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 current API query quota for our main agency account. If it's below 80% of the daily…+
Check the current API query quota for our main agency account. If it's below 80% of the daily limit, send a notification to the development team immediately, so they can plan for increased activity.
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 'Black Friday' automation scripts go live next week, analyze our historical API…+
Before the 'Black Friday' automation scripts go live next week, analyze our historical API usage patterns. Identify any potential bottlenecks or times when we might hit rate limits, and suggest strategies to optimize our calls to avoid service interruptions.
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
CDecide — diagnose the stuck momentOur reporting script just failed for the third time this morning, and I suspect it's a rate…+
Our reporting script just failed for the third time this morning, and I suspect it's a rate limit issue, but I'm not certain.
Our reporting script just failed for the third time this morning, and I suspect it's a rate limit issue, but I'm not certain. The client needs these reports by noon. I'm afraid of causing delays and looking incompetent. I can't tell the client our internal tools are failing. What's the quickest way to confirm if we're hitting API rate limits, and what's the immediate workaround?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternOur automated scripts frequently encounter API rate limit errors, causing delays and requiring…+
Our automated scripts frequently encounter API rate limit errors, causing delays and requiring manual intervention.
Our automated scripts frequently encounter API rate limit errors, causing delays and requiring manual intervention, especially during peak periods. This costs us valuable time and impacts client deliverables. What habit should I change in our API usage strategy to proactively manage and stay within rate limits, ensuring smoother operations?
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.