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Handle validation rule errors in Flows

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 taskHandle the validation rule error for the 'Opportunity Amount' field in the 'New Opportunity…+
Handle the validation rule error for the 'Opportunity Amount' field in the 'New Opportunity Creation' Flow to display a custom message.
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 handle the validation rule error for the 'Opportunity Amount' field in the 'New…+
Before I handle the validation rule error for the 'Opportunity Amount' field in the 'New Opportunity Creation' Flow, ensure the custom error message is clear and guides the sales rep on how to correct the input. We don't want them guessing what went wrong.
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
CDecide — diagnose the stuck momentA user just reported getting a generic 'FIELD_CUSTOM_VALIDATION_EXCEPTION' error when trying to…+
A user is getting a generic error message from a validation rule in a Flow, not the custom message I intended.
A user just reported getting a generic 'FIELD_CUSTOM_VALIDATION_EXCEPTION' error when trying to create a new opportunity in the 'New Opportunity Creation' Flow, instead of the custom message I configured for the 'Opportunity Amount' validation rule. I'm afraid this will confuse sales reps and lead to support tickets. What's the most common reason a Flow might not display a custom validation rule error, and what step should I check in the Flow's error handling to fix this?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternI frequently struggle with ensuring Flows display appropriate error messages for validation…+
I frequently struggle with ensuring Flows display appropriate error messages for validation rules.
I frequently struggle with ensuring Flows display appropriate error messages for validation rules, often leading to generic system messages that confuse users. This adds to our support burden. What habit should I change to more consistently implement user-friendly error handling for validation rules within Flows, ensuring clear guidance for sales reps?
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.