There is a version of this story that gets told on stage. A founder builds an internal tool in an afternoon using AI. It works. They build another one. Six months later, they’ve replaced a process that used to take their team two days a week. The story ends there, with the slide and the impressed audience.
What doesn't get told is what happens when one of those tools meets something it wasn't built for, with a real customer on the other end.
I use these tools every day, and so do most of the founders I work with. For prototyping and internal tools they are impressive, and the productivity gains are real. But there is a line between a prototype and production software, and founders tend to get it wrong in one of two ways. Some cross it far too early. Others never cross it at all.
Nobody in the driver’s seat
Building only with AI tools is a lot like driving only with self-driving switched on. Most of the time it copes. Then it encounters a situation it can't handle, at speed, and nobody in the car knows how to drive.
The self-driving systems in today’s consumer cars still require a licensed driver behind the wheel. There is no equivalent requirement for shipping software. Anyone can put AI-generated code in front of real customers with real data, and plenty of people are doing exactly that.
The failures don’t happen in the driveway. A prototype breaking costs you an afternoon. Production breaking means live data, a customer halfway through something important and, in regulated industries such as financial services, legal, insolvency and accounting, a conversation with your regulator.
The opposite problem: never shipping at all
The opposite problem is just as common. A product sits at "nearly ready" for months. The stated reason is quality, since nobody wants to release something rough. The real reason is usually fear of putting it in front of users who can tell you it's wrong. I've done this myself and still catch myself at it.
Perfectionism in this context works as self-protection from judgment. Delay works as short-term relief: you put off the thing that makes you anxious because today feels better without it. Reid Hoffman’s line on this has stayed with me: if you are not embarrassed by the first version of your product, you launched too late.
Even Steve Jobs, the counterexample people always reach for, shipped the first iPhone without copy and paste or an app store. His perfectionism was about what he let through the door. He still shipped.
Perfect doesn't exist as a finished state. You get the product to the highest standard you can defend, release it, and let the people using it show you what's actually wrong. That information can't come from anywhere else.
Where the line sits
Avoiding both mistakes comes down to knowing what has to be right before launch.
Security and data handling have to be right before anything goes to production, because those failures can’t be undone. A breach, an exposure or a compliance event is not a problem you fix in the next sprint. In regulated industries, it can end the business.
Feature completeness and polish can wait. Before anything a client builds goes live, I ask three questions. Has the security been tested? Is the data handled correctly? Is there someone in the business who understands the code well enough to take over when something goes wrong?
If the answer to the last one is no, it doesn't matter how fast the tool was built or how well the demo went.
What founders should do now
The AI tools available to founders today are powerful, and I wouldn’t tell anyone to avoid them. The founders getting the most out of them are not the ones who use them for everything. They are the ones who are clear about where the tool ends and where judgment begins.
Before anything touches production or customer data, ask whether someone in the building could fix it if it broke at the worst possible moment. If the answer is yes, ship it and stop waiting for perfect. If it's no, closing that gap comes before anything else.