◆ Salesforce

Handle MIXED_DML_OPERATION errors

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 taskFix the MIXED_DML_OPERATION error occurring when updating a Contact and a User in the same…+
Fix the MIXED_DML_OPERATION error occurring when updating a Contact and a User in the same transaction.
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 deploy this new customer onboarding flow, show me how to prevent MIXED_DML_OPERATION…+
Before I deploy this new customer onboarding flow, show me how to prevent MIXED_DML_OPERATION errors. I need to update both the Contact record and the related User's profile in the same transaction, and I'm worried about hitting this common issue.
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 update a Contact's email and then update a related User's custom field in the…+
I'm getting a MIXED_DML_OPERATION error when trying to update a Contact and a User in the same Apex transaction.
I'm trying to update a Contact's email and then update a related User's custom field in the same transaction, and I keep getting a MIXED_DML_OPERATION error. This is for the critical customer onboarding process on Friday. I don't want to split the updates and risk data inconsistency. What's the best approach to safely perform these DML operations without violating the transaction rules?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternI keep running into MIXED_DML_OPERATION errors whenever my Apex code tries to update both setup…+
I frequently encounter MIXED_DML_OPERATION errors when dealing with setup objects and standard objects in the same transaction.
I keep running into MIXED_DML_OPERATION errors whenever my Apex code tries to update both setup objects like User and standard/custom objects like Contact in the same transaction. This always causes delays in our critical processes. What habit should I change to proactively identify and correctly handle these mixed DML scenarios, so I don't repeatedly get caught by this platform limitation?
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.