I Built an AI Website Builder: From a Simple Prompt to a Website

What if you could create a website simply by describing what you want?

Create a modern portfolio website for a photographer with a dark theme, a gallery, an about section, and a contact form.

Instead of starting from scratch, you could use AI to generate a website based on your description.

That's the idea behind my AI Website Builder, a full-stack application I've built to make website creation faster and more accessible.

🚀 Try it live: https://ai-website-builder-coral.vercel.app/

In this article, I'll introduce the project, explain its main features and technology stack, and share what I've learned from building it.

Building a website traditionally involves several steps: designing the interface, writing components, styling pages, and making everything work together.

For experienced developers, this is part of the process. For beginners or people without coding experience, it can be intimidating.

I wanted to explore how AI could simplify this process.

My goal was to build an application where users could describe their ideas in natural language and turn those ideas into websites without manually writing every component from scratch.

The AI Website Builder is a full-stack platform that generates websites from text prompts.

Users can describe the website they want, preview the generated result, and refine it using additional instructions.

Rather than treating website generation as a one-time action, I wanted to support a workflow in which users could generate, review, and improve their websites.

Users describe the website they want in natural language.

"Create a modern landing page for a fitness coach with pricing plans, testimonials, and a contact section."

The application uses an AI model to generate a website based on the prompt.

Users can preview their generated websites and inspect the result before deciding what to change.

Users can provide additional instructions to refine their websites instead of starting the process over.

The application supports downloading or exporting generated website code, allowing users to work with the output beyond the builder.

Authentication allows users to access their accounts and use the application's personalized features.

Users can save previously generated websites and return to their work later.

The platform includes a deployment feature for publishing generated websites.

Together, these features make the project more than a simple AI text generator. They support a broader website creation workflow.

I used technologies that allowed me to build both the user interface and the server-side functionality.

I also implemented support for multiple AI model providers.

My backend configuration includes Google Gemini, OpenRouter, and Groq.

This lets the application offer different model options rather than relying exclusively on a single provider.

One interesting part of the project is the AI provider configuration.

Instead of tightly coupling the application to one provider, I created a configuration that identifies the available models and their corresponding providers.

For example, the configuration includes Gemini models, OpenRouter model options, and Groq-hosted Llama models.

This makes the model selection logic easier to organize and provides flexibility when choosing an available model.

Here's a simplified version of the approach:

type AIProvider = " google " | " openrouter " | " groq "; interface ModelConfig { name: string; provider: AIProvider; } const AI_MODELS: ModelConfig [] = [ { name: " gemini-2.5-flash ", provider: " google ", }, { name: " openrouter/auto ", provider: " openrouter ", }, { name: " llama-3.3-70b-versatile ", provider: " groq ", }, ]; Enter fullscreen mode Exit fullscreen mode This is a simplified example of the model configuration used in my project.

The key idea is to keep the model name and provider associated with each option so the backend can select the appropriate integration.

Supporting multiple providers also creates opportunities to compare model behavior, generation quality, latency, and availability.

Creating an AI-powered website builder involves more than connecting a text box to an AI API.

The application also needs a frontend, backend routes, database integration, authentication, and a way to manage generated projects.

I used React and TypeScript for the frontend and Node.js with Express for the backend.

PostgreSQL provides relational data storage, while Tailwind CSS helps maintain a consistent interface.

The project brings these components together into a single application, with the AI generation process serving as its central feature.

While developing this project, I wanted to support the complete workflow rather than stopping after the first generated result.

That meant including features for previewing websites, refining them with additional prompts, exporting code, saving projects, and deploying the finished result.

These features address different stages of website creation.

Generation helps users get started. Previewing helps them evaluate the result. Iteration gives them a way to refine it. Exporting and deployment help them take the project further.

Building a full-stack AI application gave me an opportunity to work across several parts of the development process.

The project also reinforced an important idea: adding AI to an application is only one part of the engineering work. The surrounding software still needs to be designed, implemented, and maintained carefully.

There are several directions in which I would like to continue improving the project:

The goal is to keep improving the experience from the initial prompt to the final website.

Building this AI Website Builder has been an opportunity to explore the intersection of full-stack development and AI.

I wanted to create something practical: an application that takes a user's idea and helps turn it into a website.

The project combines React, TypeScript, Node.js, Express, PostgreSQL, Tailwind CSS, and multiple AI provider integrations into one working application.

🚀 Explore the project: https://ai-website-builder-coral.vercel.app/

Try it out and let me know what you think!

Have you built anything with AI that you're excited about? I'd love to hear about your projects and what you've learned along the way.