◆ MATLAB

Catch warnings in MATLAB

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 taskRun the `system_stability_test.m` script and capture all warnings into a log file named…+
Run the `system_stability_test.m` script and capture all warnings into a log file named `stability_warnings_20231103.txt`, making sure to include the line numbers where each warning occurred.
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 send the results of `system_stability_test.m` to the lead engineer, run the script and…+
Before I send the results of `system_stability_test.m` to the lead engineer, run the script and capture all warnings. Then, group similar warnings together and highlight any warnings that appear more than five times, so we can quickly identify the most persistent issues without sifting through a long log.
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 running `fluid_dynamics_model.m` for the client presentation on Monday, and I'm seeing a…+
I'm running a complex simulation, and I'm getting a ton of warnings, but I can't tell which ones are critical or just noise.
I'm running `fluid_dynamics_model.m` for the client presentation on Monday, and I'm seeing a flood of warnings about 'matrix singularity' and 'division by zero'. I can't tell if these are minor numerical quirks or if they're fundamentally breaking the simulation's accuracy. The lead scientist is going to ask about the model's robustness. How do I quickly filter these warnings to find the truly problematic ones, and what's the best first step to investigate their impact on the results?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternI consistently struggle to parse through the volume of warnings generated by my scripts,…+
I'm always drowning in warnings when I run new or complex scripts, making it hard to find real problems.
I consistently struggle to parse through the volume of warnings generated by my scripts, especially when developing new algorithms or running large datasets. It's hard to distinguish critical issues from benign notifications, leading to missed errors or wasted time chasing non-problems. What habit should I change in how I handle and review these warnings to more efficiently identify and address genuine concerns?
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.