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Bulkify Apex triggers for Flow

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 Salesforce tasks

The same task, four prompts

today's deadline · the next reviewer · the stuck moment · the pattern
AExecute — do the immediate taskWhen 20 new contacts are imported, make sure the automation that creates a welcome task for…+
When 20 new contacts are imported, make sure the automation that creates a welcome task for each of them still runs.
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 automation creates welcome tasks for new contacts, check if more than one hundred…+
Before the automation creates welcome tasks for new contacts, check if more than one hundred contacts were just imported. If so, process them in batches to avoid hitting governor limits.
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
CDecide — diagnose the stuck momentMarketing just uploaded a list of 500 new leads, but the automation that assigns a follow-up…+
Our marketing team just imported 500 new leads, and the automation to create follow-up tasks only ran for the first 200.
Marketing just uploaded a list of 500 new leads, but the automation that assigns a follow-up task to a sales rep only created tasks for the first 200. The sales team is already asking where their new tasks are, and I'm worried we're losing momentum on these leads. What happened, and how do we get tasks created for the remaining 300 without failing again?
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 having automations fail when marketing or sales ops import large lists, like new leads…+
Our automations frequently fail when processing large data imports, leaving incomplete records or tasks.
We keep having automations fail when marketing or sales ops import large lists, like new leads or updated customer data. This means tasks aren't created, or data isn't fully processed, causing rework and missed opportunities. What habit can we change in our automation design to reliably handle bulk data 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 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.