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Bulkify Flow calls from Apex

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 taskModify the Apex trigger on the Account object to ensure that any calls to the…+
Modify the Apex trigger on the Account object to ensure that any calls to the 'UpdateRelatedContacts' flow process multiple accounts at once.
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 this Apex trigger goes live, make sure that when it calls the 'UpdateRelatedContacts'…+
Before this Apex trigger goes live, make sure that when it calls the 'UpdateRelatedContacts' flow, it can handle a large batch of account updates at once, so we don't hit governor limits when our data team does a bulk import.
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 nightly data load just failed, and the error logs point to a flow called by an Apex trigger…+
Our nightly data load failed because a flow called from an Apex trigger hit a governor limit.
Our nightly data load just failed, and the error logs point to a flow called by an Apex trigger on the Account object hitting a governor limit. We updated 5,000 accounts, and it seems the flow tried to process them one by one. Our CEO is expecting the updated sales numbers first thing. What's the fastest way to diagnose why it wasn't bulkified, and what's the safest immediate step to get this data processed by morning?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternWe keep running into governor limits during bulk data operations, especially when our Apex…+
Automated processes frequently fail during bulk data operations due to governor limits.
We keep running into governor limits during bulk data operations, especially when our Apex triggers call flows. This causes delays, data integrity issues, and extra work for the development team. It feels like we're constantly patching these issues. What's one habit we can change in our development process to proactively ensure our flow calls from Apex are always bulk-safe?
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.