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Workaround SOQL Offset 2000 limit

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 taskFind all the open cases for the 'Global Solutions Inc.' account where the case owner is not…+
Find all the open cases for the 'Global Solutions Inc.' account where the case owner is not 'Maria Rodriguez' and the status is 'New' or 'Open', then export them to a spreadsheet for our team meeting on Monday.
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 this list of high-priority cases to the VP of Sales, group them by account and…+
Before I send this list of high-priority cases to the VP of Sales, group them by account and then by age, oldest first. Highlight any cases that are older than 30 days so she can see the potential churn risks immediately.
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'm trying to get a complete picture of our pipeline for the Q3 review tomorrow, but the report…+
I just ran a report for all open opportunities over $50,000, but it's missing a lot of records that I know exist, especially from last quarter.
I'm trying to get a complete picture of our pipeline for the Q3 review tomorrow, but the report I just pulled feels incomplete. I'm afraid I'm missing opportunities that will make us look bad. Is there a common reason why larger reports might silently drop records, and what's the fastest way to get a truly comprehensive list of all open opportunities over $50,000 for the last six months?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternEvery time I try to pull a complete data set for a sales analysis or a marketing campaign, I…+
I keep hitting limits when trying to get full data sets for analysis.
Every time I try to pull a complete data set for a sales analysis or a marketing campaign, I run into limits that force me to break it into smaller chunks, costing me hours. This makes me doubt the accuracy of my final analysis. What habit should I change to ensure I can consistently get all the data I need for a comprehensive view without constantly hitting these invisible walls?
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 Salesforce'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.