◆ MATLAB

Analyze climate policy data

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 taskLoad the 'global_temp_data_2023.csv' file, filter it to show only data for Europe, and then…+
Load the 'global_temp_data_2023.csv' file, filter it to show only data for Europe, and then calculate the average annual temperature for each country in that region.
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 present this climate policy impact assessment to the UN panel, make the uncertainty…+
Before I present this climate policy impact assessment to the UN panel, make the uncertainty analysis more transparent. Clearly show the confidence intervals for the emissions reductions, flag any data gaps, and suggest alternative scenarios if the primary assumptions don't hold.
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
CDecide — diagnose the stuck momentThe new emissions data from the emerging industrial sector is significantly higher than our…+
The latest emissions data from the new industrial sector isn't fitting our existing economic model, and I'm worried about the policy recommendations.
The new emissions data from the emerging industrial sector is significantly higher than our current economic impact model predicted, and it's throwing off our policy recommendations for the upcoming summit. I'm afraid the Minister will question our projections. I can't tell the policy director we're this far off yet. What's the most likely reason for this unexpected deviation, and what's the best next step to quickly adjust the model for these new realities?
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 to combine disparate climate datasets – satellite imagery, ground sensor…+
I keep struggling to integrate diverse climate datasets into a coherent analysis.
I frequently struggle to combine disparate climate datasets – satellite imagery, ground sensor readings, economic indicators – into a single, coherent analysis. It feels like I'm always wrestling with different formats and missing values. What habit should I change to more efficiently prepare and integrate these varied data sources for policy analysis?
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 MATLAB'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.