◆ MATLAB

Generate random points inside a parallelogram

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 taskGenerate 1000 random points inside the parallelogram defined by vertices (0,0), (5,0), (7,3),…+
Generate 1000 random points inside the parallelogram defined by vertices (0,0), (5,0), (7,3), and (2,3). Store these points in a variable named 'parallelogram_points'.
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 use these random points for the Monte Carlo simulation, make sure they are evenly…+
Before I use these random points for the Monte Carlo simulation, make sure they are evenly distributed across the parallelogram. Add a check to confirm the distribution looks uniform, and if not, suggest adjusting the random number generator or the method for point generation. I need to be confident in the sample before running the simulation.
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 just generated a set of random points for the stress test, but the plot looks like they're…+
I generated 1000 random points in the parallelogram, but when I plotted them, they seemed to cluster near one edge.
I just generated a set of random points for the stress test, but the plot looks like they're favoring one side of the parallelogram, not truly random across the whole area. My boss, Dr. Evans, is going to scrutinize this for bias. I'm worried if I present this, she'll question the validity of the whole simulation. What's the likely cause of this uneven distribution, and what's the most robust way to ensure true uniform randomness within the parallelogram for the final report?
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 spending too much time visually inspecting random point sets for uniformity before I can…+
I keep having to manually check random point distributions for uniformity.
I keep spending too much time visually inspecting random point sets for uniformity before I can trust them in simulations. This always happens when I'm working with non-rectangular geometries. I need to stop this manual overhead. What's a better habit or method to automatically validate the spatial distribution of generated points in arbitrary shapes, so I don't waste time second-guessing the randomness every time?
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.