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No autopilot

“I can just do it myself with AI.”

01 / The catch

Looking good is not the same as being right.

AI slop is a real thing in websites, the same way it is in LinkedIn posts: the line that sounds smart and says nothing, the page that explains the product to people who already get it, a logo wall of API integrations dressed up as customer proof.

Yes, you can absolutely vibe-code a good-looking website. But if you have never done this before, neither you nor the AI can tell when it is wrong. At your stage there is too little traffic to test it against, so “looks good” just means “feels fine to me.”

02 / Where it breaks

What your LLM can do, and what it can’t.

What AI hands you

  • A first draft in 5 minutes
  • A working site in 5 hours
  • More versions than you can read
  • Everything at $20 a month

What it can’t hand you

  • An outside read on whether the positioning is right
  • The judgment to know which version actually works
  • The eye to catch what is wrong before a visitor does
  • A point of view your buyer can feel

Having both gives you a website that is clear and helps you sell.

Having only the left column gives you a beautiful piece of AI slop that does not work on new visitors.

03 / Looks finished

A boat that looks great until you put it in the water.

If you have never written a PRD and you write one with AI, it will look right to you. You cannot see what is missing. It holds up until people start using it, and then it breaks.

A website is the same. You build something that looks great, then real cold visitors land on it, the ones your sales calls will run on, and that is where it breaks.

So it's not really the last 20%. It's the gap between a good-looking demo and something solid enough to sit at the core of your marketing and your sales calls.

04 / What you pay for

You’re paying for a marketing eye, in the build itself.

For 17 years I have done this with early-stage startups: writing the copy, optimizing the landing pages, testing the funnels, building the sites. I point the AI where it needs to go, and I catch it the moment it goes wrong. The tools are the same ones you would use. The difference is whose judgment is driving them.

There is also another layer here, easy to overlook at first and quick to surface later: the marketing-ops calls that need a marketing head, not just a technical one. A site built to be read by people and by machines. Analytics wired up. The scenarios you will hit later, handled now. Clean schema graph, hand-written meta on every page, a valid sitemap, crawler access set up for AI search.

See what gets locked in Week 1

05 / Questions

The AI questions, answered.

What's the real difference between me using AI and you using AI?
A marketing eye. I have spent 17 years learning where to point it and how to catch it when it is wrong, before it ever reaches a visitor. Without someone holding that eye over the process, the project turns into AI slop. Not might. Will. On a homepage, that is the whole difference.
You use AI yourself. So what am I really paying for?
I absolutely do, every day. What you are paying for is the judgment around it: what the positioning is, which version actually works, when it is done, and the marketing-ops details that decide whether the site gets found and read at all. The calls only experience makes.
I'm a builder and I can spend a day or two on it. Why not just do it myself?
If you are a technical founder, you can absolutely build it. The build was never the hard part for you. The hard part is the judgment: knowing whether the positioning is right, catching the line that sounds smart and says nothing, knowing what a cold buyer needs to see in the first five seconds and what makes them leave, telling a headline that converts from one that only reads well. That is the part that takes having done it many times, and it is the whole job here.

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