I Built An Entire Website With AI. Here’s The Reality Nobody Talks About.

For the last few weeks, I’ve been running a real-world experiment.

Not a toy project.
Not a landing page generated in 20 minutes for a YouTube thumbnail.
Not a fake “build a SaaS in an hour” demo.

A real website.

Planned properly.
Structured properly.
Designed properly.
Integrated properly.
Built to the standards I actually work to.

And I decided to do the entire thing using AI.

Everything.

Research.
Planning.
Persona targeting.
Page structure.
Wireframes.
UX.
UI design.
Copywriting.
Development.
WordPress integration.
SEO.
AI optimisation.
Launch process.
Indexing.
Post-launch setup.

Every single stage.

The website is AIWebsiteRepair.com.

Ironically, a website about fixing AI-generated websites.

And after going through this process from beginning to end, I’ve come to one very clear conclusion:

AI is an incredibly powerful tool.

But the internet is massively underestimating how much human oversight is still required.

The Finished Result Is Excellent

Let’s start with the positive.

The finished result is genuinely excellent.

The design is strong.
The codebase is clean.
The structure is solid.
The performance is excellent.
The site behaves exactly how I intended.

And yes, AI absolutely helped accelerate parts of the process.

When given a clearly defined task with extremely specific instructions, the coding output was often surprisingly good.

In many cases, extremely good.

That’s the part people are getting excited about online.

And rightly so.

The problem is what people are leaving out.

This Was Anything But Hands-Off

If you spend enough time on LinkedIn or YouTube right now, you’d think you can build a production-ready business website with AI in an afternoon while sitting on a beach drinking cocktails.

That has not been my experience.

At all.

The reality was:

constant supervision
constant checking
constant refining
constant correcting
constant rechecking

And most importantly:

constant reining AI back in.

That became the real job.

Not building the site.

Managing the AI.

AI Will Happily Introduce New Problems While Fixing Old Ones

This was probably the single biggest issue throughout the project.

AI would fix one bug.

And introduce three more.

A layout issue would be corrected.
Then spacing would break somewhere else.

A mobile issue would be fixed.
Then desktop behaviour would drift.

A reusable component would be improved.
Then another page using that component would partially break.

And this happened repeatedly.

Not occasionally.

Repeatedly.

At one point, ChatGPT literally told me that Codex would often only complete “20% of the brief if it could get away with it” unless the instructions were incredibly specific and tightly controlled.

Honestly?

That explained a lot.

Because once I understood that behaviour pattern, the whole experience suddenly made much more sense.

It Reminded Me Of A Very Bad Offshore Development Experience

Years ago, I outsourced a task involving a spreadsheet.

The task was simple.

Take the spreadsheet data and turn it into a properly formatted web layout with structured tables.

The developer came back saying the task was complete.

What had they done?

Taken a screenshot of the spreadsheet.

And pasted the image onto the page.

Technically the task was “done”.

Reality?

Not even remotely.

And honestly, parts of this AI build process reminded me heavily of that.

Because AI will often follow instructions literally rather than intelligently.

There is still a huge lack of common sense.

That’s the missing piece nobody really talks about enough.

AI Feels Less Like An Expert Developer And More Like A Very Fast Junior

That’s probably the best real-world comparison I can give.

AI does not currently feel like replacing an experienced developer.

It feels more like working with an extremely fast junior developer that requires constant supervision.

If you guide it carefully:

it can produce impressive work
it can speed up execution
it can reduce repetitive work
it can accelerate development

But if you stop paying attention?

Things drift quickly.

And God forbid you stop for the evening and come back the next morning.

Because the context retention can feel wildly inconsistent.

Sometimes it remembers the entire project structure brilliantly.

Other times it behaves like it has never seen the project before in its life.

That inconsistency is exhausting.

The Real Risk Nobody Is Talking About Yet

This is the bit I think is going to become a major issue over the next few years.

People with little or no technical experience are now generating websites, plugins, integrations and functionality directly into production systems.

Including WordPress.

And on the surface?

A lot of it looks fine.

Until it isn’t.

Because hidden underneath:

bugs are being introduced
security issues are being introduced
unstable integrations are being introduced
bloated code is being introduced
conflicting functionality is being introduced
database issues are being introduced

And the scary part is that many people won’t even realise it’s happening.

The site may appear to work.

Until something breaks.

Or performance tanks.

Or forms stop working.

Or updates clash.

Or security vulnerabilities appear.

Or the entire thing slowly becomes unmaintainable.

That is where I think the next huge wave of problems is coming from.

Why My Experience Was Different

The only reason this project stayed under control is because I’ve spent nearly 30 years building websites, applications and systems.

I knew what to look for.

I could spot when AI was drifting.
I could spot unstable logic.
I could spot conflicts.
I could spot poor implementation.
I could identify bugs early.
I could debug properly.
I could step in and correct things before they became catastrophic.

Without that experience?

Honestly, this project could have become an absolute mess.

That’s the part I think people are massively underestimating right now.

AI Is Not Replacing Process

One thing this project reinforced massively for me:

The process still matters.

Proper planning still matters.
Proper UX still matters.
Proper structure still matters.
Proper copy still matters.
Proper testing still matters.
Proper technical oversight still matters.

AI does not magically remove the need for those things.

In fact, in many ways, it makes them even more important.

Because when AI starts drifting, the only thing keeping the project stable is the process guiding it.

So Has AI Saved Me Time?

Honestly?

I’m still not convinced.

Could I have built parts of the site faster manually?
Possibly.

Could I have avoided huge amounts of debugging?
Definitely.

Would the process have been mentally easier?
Almost certainly.

Now, to be fair, AI absolutely accelerated certain stages.

But I’ve probably spent more time checking, correcting, refining and supervising than I actually saved from the raw code generation itself.

That’s the truth.

And I think a lot more developers will quietly admit the same over the next year or two.

My Final Conclusion

AI is real.
AI is powerful.
AI is not going away.

And used correctly, it can absolutely become an incredible tool.

But the idea that AI is currently replacing experienced developers in professional production environments without heavy supervision?

I simply don’t believe that’s true.

Not yet.

What I do believe is this:

The businesses and developers who will benefit most from AI are the ones who already understand process, quality, structure, UX, code standards and problem-solving.

Because right now, AI still needs guiding.

Constantly.

And that’s exactly why I believe services like this are going to become increasingly important.

Because the volume of AI-generated websites, AI-generated bugs and AI-generated technical debt is about to explode.

And somebody is going to have to fix it.

For practical support with this, see my AI website repair or related guidance on WordPress web design.