Building a website with AI

AI makes creating a website easier and faster than ever, but the pace tricks many into forgetting the essentials: strategy, CMS structure, integrations and long-term management. In this guide, we'll go over what AI is actually good at right now, and the critical blindspots that make you still need professional skills to build a website that works for real.

10 Dec

2025

Daniel
Daniel Herstedt
Managing Director
A.I
5
Min

Why AI is currently changing web development

AI tools today can generate designs, code, texts and images in a way that revolutionizes the pace of web development. It's easy to get the feeling that an entire website is just a couple of commands away. But behind the polished surface hides a series of strategic and technological blindspots that can quickly turn fast and cheap into expensive and time-consuming.

The purpose of this guide is to provide a realistic picture of what AI can actually do — and what it can't — when it comes to building websites that drive business, scale, and work in real life.

How to build a website with AI?

Building a website with AI sounds simple: you describe what you want, and the tool produces structure, design, and sometimes even code. In practice, however, the process requires more governance than most people think. AI can deliver impressive prototypes, but you're the one who holds the helm.

A typical AI-driven process looks like this:

  1. You describe the goals, content, and functions.
  2. AI suggests layout, structure and design ideas.
  3. You iterate and adjust as needed.
  4. AI generates code or design files based on input.
  5. The result is exported or built further into a CMS.

It works great for pace and idea generation, but leaves several crucial decisions up to you as a user.

Examples of AI tools for web development

AI tools are developing at an unprecedented pace, and an important part of the competence in modern web development is precisely to stay up to date on what tools are available, and to learn how to use them correctly. It's not just about pushing the right buttons, it's about understanding each tool's strengths, limitations, and how they fit into a professional production process.

For clarity, here we divide the tools into two categories: those we use regularly in our client projects and those we have primarily evaluated or follow to understand the direction of the market.

Tools we use regularly

These AI tools are a natural part of our daily output and provide real value when building websites for clients.

ChatGPT

Our premier tool for structure design, content drafting, code review, brainstorming and concept development. Strong on both text, logic and development support.

Gemini

Used as a complement for research, alternative text logic, benchmark and data-driven reasoning. Good widener when multiple perspectives are needed.

Relume AI

One of the most practical design tools of the AI era. Relume generates sitemaps, sections, and components that work directly in Webflow. Ideal for rapid prototyping and for maintaining a high design standard even in the early stages.

Webflow AI

Webflow AI used for code snippets, markup, copy suggestions, and faster set of CMS structures. Limited but useful, especially in combination with Relume and ChatGPT.

Tools we've tested, evaluated or are keeping an eye on

These tools are interesting, but have not been fully integrated into our production process. They serve as inspiration, frames of reference or future possibilities.

Lovable

Impressively fast at generating prototypes in React. Lovable are great for test environments and early demos, but require heavy developer skills to become production-ready.

Cursor

Cursor is a very powerful AI tool for developers who want to collaborate with AI directly in the codebase. Awesome in theory, but right now overpriced for mainstream web development projects.

Framer (AI features)

Design oriented platform that can build visually appealing pages quickly. Interesting for prototyping, less useful for scalable customer projects.

Durable

Durable fast AI solution for small businesses that want a “page in 30 seconds”. Good demo of where the market is headed, but far from the levels required for serious web projects.

Uizard

intriguing UI Tools to generate design concepts and mockups with AI. Good for inspiration -- not ready for full-scale production.

Would you like me to also style this section with a short summary preamble that ties it all together and gives the right “Atom Agency” energy?

Benefits of Using AI in Web Development

AI makes web development faster, cheaper and more experimental. It eliminates starting distances and helps visualize ideas in record time.

Here's where AI performs at its best:

Design inspiration

AI can generate wireframes, styles, and visual concepts that are often close to production level. This makes the research and idea phase much faster.

Development

It can write code, explain code, find bugs, and suggest improvements. It's like having a junior developer with turbo, 24/7.

Content production

AI quickly creates:

  • web texts
  • microcopy
  • blog posts
  • pictures and illustrations

It is a powerful tool for filling prototypes with real content and test materials.

But the benefits don't change the fact that AI lacks responsibility, judgment and understanding of the whole business. This is where the greatest risks arise.

6 critical things you need to keep an eye on when building your website with AI

1. Your own knowledge: AI is no better than the instructions you give

AI is happy to deliver something that sees right out, but that doesn't mean it is that's right. Without a basic understanding of UX, web development and terminology, there is a risk that the result will be a neat prototype that fails in real use.

AI amplifies your skills, but it also amplifies your blind spots.

2. Strategy and wholeness: AI can't define your business

A website is not a collection of sections. It is a strategic tool to drive the right traffic, convert the right audience and reflect the brand. AI can create structures, but it doesn't understand why These structures should exist.

It lacks context. It lacks business logic. It lacks the soul of the brand.

Without human governance, the result is easily generic and inefficient.

3. CMS and Scalability: AI is happy to build static pages, but your business needs more

A modern website needs a CMS that is:

  • scalable
  • Editor-friendly
  • Structured based on future content

AI has yet to find it difficult to create robust CMS models or understand how content should be organized to work long term. A static AI page is often simple to generate but difficult to own and develop.

4. Integrations: A website is part of a larger ecosystem

In reality, a website must be associated with:

  • CRM
  • analysis tools
  • automations
  • form system
  • advertising tracking

This is where AI often misses the mark. The tools may provide code examples, but they lack understanding of security, GDPR, data flows and real-world integrations. The result is often a solution that works on paper but not in production.

5. Support, Maintenance, Performance and Security

Once the AI has spit out its code, it stops thinking. It doesn't follow up. It doesn't patch. It doesn't optimize.

In the operating environment, someone must:

  • refresh
  • test run
  • ensure performance
  • deal with bugs
  • Take responsibility for security gaps

Without active management, even a slick AI-built page quickly becomes a risk factor.

6. Responsibility and Quality Assurance

AI can generate a lot, but it does not quality-assure its own output. It does not validate the structure, availability, scalability, or risks of the code.

Someone has to be in charge of the decisions. Someone needs to review. Someone needs to ensure that the work keeps a professional level.

AI builds without accountability. People build with consistency.

When does AI work and when does it not work?

AI works great for:

  • rapid prototyping
  • development of ideas and concepts
  • text and image production
  • code snippets and debugging

AI works worse at:

  • business strategy
  • conversion optimization
  • CMS Architecture
  • integrations
  • safety and operation
  • quality assurance

AI builds quickly. Professionals build right. In that combination lies the real power.

Summary and Conclusion

AI has changed the playing field of web development. The pace is higher, the possibilities greater and the tools more accessible than ever. But while AI can accelerate the process, it is still people who are responsible for the direction, structure, quality and strategic decisions. A website that is going to carry a brand, convert the right audience and support the business requires more than generated code and stylish prototypes. It requires experience, methodology and responsibility.

This is where the Atom Agency comes in.

We use AI as an integral part of our work process, not as a substitute for competence, but as an amplifier. By combining our experience in strategy, UX, design, development and CMS architecture with modern AI tools, we can deliver solutions that are faster to develop and deliver higher quality over time.

We help you to:

  • define strategy and conversion flows
  • Create structured, scalable CMS solutions
  • integrate CRM, analytics and automations
  • Ensure performance, safety and ongoing management
  • Using AI correctly in production
  • avoid the pitfalls that cause an “AI-built website” to otherwise quickly lose value

In short: AI can build. We make sure it's built right.

If you want to explore how AI can become a competitive advantage in your next web project, we'll help you translate that potential into a solution that actually makes a difference. Get started today!

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