How to Actually Build a Website With AI (And What Breaks)

The Operator’s Stack for AI Site Builds

Let’s get one thing straight: there is no single magic button to build a website with AI. Anyone selling you that is lying. The reality is a workflow, a stack of specialized tools you orchestrate. It’s faster and cheaper than hiring a developer, but it still requires your brain. This is the stack I use for real client projects and my own ventures.

• For Content and Strategy: Claude 3 Opus. I’ve found it’s currently the best for generating structured, long-form copy that doesn’t sound like a generic robot wrote it. GPT-4 is a close second, but Opus seems to grasp brand voice and tone with less hand-holding. This is for your homepage copy, your service descriptions, your ‘About Us’ page—the actual words that sell.
• For Visuals and Branding: Midjourney. It has a steep learning curve, but the quality and control are unmatched for creating unique hero images, icons, and abstract brand assets. DALL-E 3 is more accessible but often produces sterile, corporate-looking visuals. You want your site to look like yours, not like a stock photo catalog.
• For Assembly and Deployment: Framer AI. This is the core of the operation. It takes your text prompts and generates a functional, responsive website layout. Unlike other AI builders that spit out messy, unusable code, Framer builds on a clean foundation. It’s a design tool first, which means you have full control to refine what the AI produces.

This isn’t a random collection of tools. It’s a production line. You move from strategy (Claude) to visuals (Midjourney) to assembly (Framer). Mess up the order, and you’ll waste hours.

Step 1: Generating Core Content That Doesn’t Suck

This is the most critical step, and the one most people rush. Your website is a sales tool, and the words do the selling. Before you even think about design, you need to generate the copy. I start by creating a ‘Site Spec’ document—a simple brief that outlines the goal of the site, the target audience, the core services, and the desired tone of voice.

Then, I feed that context to Claude 3 Opus. Don’t just ask it to “write a homepage.” Give it structure. A great prompt looks less like a question and more like a template you’re asking the AI to fill.

Here’s a prompt structure I actually use:

Run this, and you’ll get back structured text that’s 80% of the way there. You’ll still need to edit it, inject your own specific examples, and ensure it sounds like you. But you’ve just saved a day of staring at a blank page.

What Most Guides Get Wrong

Most tutorials on how to build a website with AI are just thinly veiled ads for a single tool. They show you a slick demo where someone types “make a website for a coffee shop” and a perfect site appears. That is a fantasy.

That approach produces generic, soulless websites that look identical to a thousand others. The AI has no context. It doesn’t know your story, your customers, or what makes you different. It just pulls from a template and fills it with bland, meaningless text about “quality beans” and “passionate baristas.” It’s useless for a real business.

The correct approach is to use AI for acceleration and assembly, not for initial creation. You bring the strategy. You define the audience, the value proposition, and the brand voice. The AI is your intern—it does the heavy lifting of structuring the content, suggesting layouts, and generating visual assets based on your very specific instructions. You are the director; it is the production crew.

Thinking the tool will do the strategic work for you is the single biggest mistake you can make.

Is the AI-Generated Design Actually Usable?

So you have your copy. Now you take it to Framer AI. Can its AI designer actually produce something good? Yes, but you need to manage your expectations. The first version it generates will probably be a 6/10. It will be functional, responsive, and structurally sound, but aesthetically bland.

My concrete gripe with Framer’s AI is that its initial font and color pairings are often uninspired. It defaults to safe, corporate choices that lack personality. You absolutely have to go in and manually set up your own brand styles—your specific hex codes, your chosen heading and body fonts. This is non-negotiable for a professional-looking site.

However, here’s what I absolutely love: once you have your content blocks, you can just ask the AI to “rearrange this section into a 3-column grid with icons” and it just *does it*. It correctly refactors the layout while maintaining responsiveness across mobile, tablet, and desktop. This feature alone saves hours of tedious CSS work. It’s the perfect example of AI handling the grunt work while you focus on the high-level design decisions.

As for cost, Framer’s Pro plan is around $30/month. Honestly, for a tool that can deploy a full-featured, custom website in an afternoon, that price is a steal. The free tier is fine for messing around, but it includes Framer branding, which makes it a non-starter for any serious business.

Generating Visuals That Don’t Look Like AI Garbage

Nothing screams “I made this with AI” more than a generic, plastic-looking hero image of a smiling person in a non-existent office. Your visuals need to be unique and consistent with your brand. This is where Midjourney comes in, and it requires a specific workflow.

First, establish a consistent style. Don’t just generate one-off images. You need a prompt formula. For a recent project, I needed a set of abstract icons. The key was a consistent prompt structure:

minimalist line art icon, [concept name], on a plain white background, vector graphic, deep navy blue and burnt orange, technical diagram style --no shading, 3d, photo

By changing only the `[concept name]` (e.g., ‘data processing’, ‘user workflow’, ‘security’), I could generate a whole set of icons that felt like they belonged together. The negative prompts (`–no shading, 3d, photo`) are just as important as the positive ones. They stop Midjourney from making things look overly rendered and fake.

For hero images, I often use abstract or conceptual prompts instead of photorealistic ones. Something like `abstract visualization of data streams, flowing lines of light, dark background, cinematic, blue and gold palette –ar 16:9` produces a much more professional and unique result than `business people collaborating in an office`.

How to Debug When This Breaks

This workflow isn’t flawless. Things will go wrong. Here’s how to fix the most common issues.

• The AI builder gives you a terrible layout. This usually happens when your prompt is too complex. Don’t feed Framer AI your entire homepage copy at once. Instead, work section by section. Give it just the hero copy and let it generate that. Then add a new container and feed it the ‘Problem’ section copy. Building incrementally gives you more control and makes it easier to spot where the AI is getting confused.
• The generated copy sounds robotic and full of jargon. Your initial prompt wasn’t specific enough about the tone of voice. The fix is a refinement loop. Take the robotic copy, paste it back into Claude, and use a new prompt: `Rewrite the following text. My audience is non-technical small business owners. Remove all corporate jargon and simplify the language. Make it sound more direct and confident.` This almost always works.
• The website looks broken on mobile. The AI gets you 90% of the way on responsiveness, but it’s not perfect. Elements might overlap or text might be too small on a phone screen. There’s no AI fix for this. You have to open the editor in Framer, switch to the mobile breakpoint view, and manually adjust the font sizes, padding, and element stacking. It’s 15 minutes of manual work that makes the difference between a professional site and an amateur one.

The core principle of debugging an AI workflow is isolation. Isolate the problem to a specific tool and a specific input, then simplify that input until you get the result you want.

We cover this in more depth elsewhere — deeper coverage of AI agent platforms.

If you’d rather skip the build and deploy a working version in an afternoon, we’ve packaged this workflow as a blueprint at deepusecase.com/vault.