AI helps you design it.QwiiQ helps you prove it.

But what have you actually established?

A design that passes every automated check can still be fundamentally wrong.

Electrical rule checks won't tell you whether a component has been adequately derated. Design rule checks won't establish whether your power supply is stable, whether switching currents are interfering with sensitive circuitry, or whether your chosen PCB stack-up provides suitable return paths for the signals you've routed across it.

And the PCB doesn't operate in isolation. Its enclosure, wiring, power source, mechanical arrangement and surrounding environment can all affect its performance. A circuit that behaves perfectly well on an open bench may behave very differently once installed in the product you've designed around it.

None of these problems is exclusive to AI. Experienced engineers make mistakes too. But AI presents a new temptation: to trade the difficult work of understanding a design for the convenience of having one generated.

AI sounds just as confident when it's wrong as when it's right. It can make a poor engineering decision sound perfectly reasonable, and if the engineer stops questioning those answers, you may never know which decisions were properly evaluated and which were simply accepted.

And a convincing design can give you a dangerous amount of confidence.

The real cost of getting it wrong

You might discover a problem when your assembled boards arrive. By then, you've paid for engineering, components, fabrication and assembly. Perhaps you've already committed to an enclosure, arranged a product launch or promised delivery to your first customer.

There's nothing wrong with discovering problems during prototyping. That's one of the reasons you build prototypes in the first place.

Your first boards arrive. Your engineer flashes the firmware, performs some tests, and discovers a few problems. Those problems are corrected, and another revision is manufactured. This time, the engineer checks that the fixes worked, perhaps repeats a few earlier tests, and moves on.

After a few revisions, nothing else appears to be wrong. The hardware works, the known problems have been fixed, and you're told the design is ready for production.

Sounds reasonable, doesn't it?

But consider something. How did your engineer decide what needed to be tested in the first place?

Was there a test plan based on what your product was actually required to do, including the conditions it would encounter in the field? Were there defined acceptance criteria? When the design changed, was the impact of those changes assessed, or were the fixes simply tested in isolation?

And perhaps the most important question: How did anyone decide that testing was finished?

If the answer is that nobody could find anything else wrong, you may have a problem.

Your engineer might have corrected every fault they encountered. But that doesn't establish whether they tested the conditions most likely to reveal the faults they haven't discovered.

Before you commit to production, ask to see the test plan and the results from the final design revision. You should be able to understand what was tested, why those tests were chosen, what constituted an acceptable result, and which requirements remain unverified.

Because there's a considerable difference between a product that has passed a defined validation programme and one that has simply stopped giving its developer trouble.

There's another problem with waiting for something to fail: some mistakes can take months or years to show up.

Consider component selection. Your engineer might choose a capacitor because it's cheap, available and on the assembly house's "standard parts" list. There's nothing wrong with using standard parts when they're suitable. But that label tells you how easy a part is to source, not whether it's right for your circuit.

Did anyone check the datasheet? A ceramic capacitor can lose much of its nominal capacitance under DC bias. An electrolytic capacitor needs appropriate ripple-current, temperature and lifetime ratings. Those details matter long before the first board is assembled.

Perhaps the circuit powers up and passes every test the engineer thought to run. It might even work for years before component aging, an unusual load condition or a weakness in the protection circuitry brings it down. The failure may be new. The engineering decision behind it isn't.

Even testing a handful of prototypes successfully doesn't establish how hundreds or thousands of units will behave across component tolerances, manufacturing variation and real operating conditions.

And by then, you've built a business around it.

You've invested in manufacturing, established relationships with customers and spent years building a reputation. Now products are failing in the field, customers are complaining publicly, and decisions made during development are threatening everything you've worked to establish.

Perhaps you're planning to fix those shortcomings in the next revision. There's nothing wrong with improving a product or designing for a defined service life.

But a future revision won't undo the failures your customers have already experienced. It won't recover the time they've lost or necessarily restore the trust they've placed in your business.

Your customers are buying the product you deliver today, not the one you hope to get right tomorrow.

You deserve better than "trust me, bro."

The problem isn't necessarily that you've hired the wrong engineer. The problem is that you may have no practical way to establish whether the engineering you've paid for is sound.

You shouldn't need to become an electrical engineer to ask what has been tested, what the results mean, or whether a design is ready for manufacturing.

And you shouldn't have to accept somebody else's confidence as the answer.

At QwiiQ Labs, we're working to make practical electronic testing and validation more accessible through affordable instruments, guided test workflows and hardware reference designs supported by actual characterization data.

The objective is straightforward: give you the means to investigate how your hardware behaves, understand what the measurements establish and recognize what remains uncertain. You can use those tools yourself or ask the engineers you've engaged to demonstrate their work against defined procedures.

We won't pretend that a few successful measurements prove a product will never fail. No instrument, test procedure or engineer can make that promise.

But a disciplined test can establish something useful. It can identify a problem, challenge an assumption, demonstrate performance under specified conditions or reveal that the available equipment and evidence simply aren't sufficient to support a conclusion.

And that's information worth having before you commit more money.

It's your investment. Your product. Your reputation.

You don't need another confident answer. You need a way to know whether that answer deserves your confidence.