◆ Elasticsearch

Query for not equal to

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 taskQuery the 'web-logs' index to find all requests where the 'user_agent' is not 'bot' and the…+
Query the 'web-logs' index to find all requests where the 'user_agent' is not 'bot' and the 'status_code' is '200', for the last 24 hours.
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 acceptI need to find all transactions that weren't processed by our primary payment gateway. Before I…+
I need to find all transactions that weren't processed by our primary payment gateway. Before I just query for 'gateway_id' not equal to 'primary_gateway', help me think through other ways transactions might be 'not processed' by it – maybe they errored out before reaching it, or were manually overridden. How can I construct a query that truly captures all these edge cases for our Friday report?
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 find all users who haven't completed a specific action, but the results seem too…+
I'm trying to find all users who haven't completed a specific action, but the results seem too high.
I'm trying to find all users who haven't completed a specific action, but the results seem too high, almost like it's including users who aren't even eligible. I'm afraid my 'not equal to' query is too broad and missing an implicit condition. How can I refine this query to accurately identify only the relevant users who genuinely haven't completed the action, without accidentally including unrelated records?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternI often struggle to construct queries that accurately exclude specific data points without…+
I often struggle to construct queries that accurately exclude specific data points without missing related ones.
I often struggle to construct queries that accurately exclude specific data points without missing related ones or including unintended records. This leads to inaccurate reports and wasted time debugging. What habit can I change in my approach to 'not equal to' or exclusion queries to ensure I'm always capturing precisely what I intend, especially when dealing with complex data relationships?
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 Elasticsearch'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.