Building and Launching a Landing Page with AI in 40 Minutes

Making an idea visible does not always require starting with a full-scale product development process. Sometimes the immediate need is simply to publish a page that explains the idea’s purpose and observe the interest it attracts. At X Mind Solutions, that is what we did in an experiment that began with the idea of building an AI-focused community: we created a landing page in 40 minutes and published it on a subdomain of our existing domain.

Our first step was not choosing a technology, but defining what the page should achieve. Our aim was to give visibility to the idea of a community focused on artificial intelligence. With that in mind, we asked ChatGPT to prepare a development prompt for a simple, elegant, single-page landing page. At the same time, we created a GitHub repository and connected Claude Code. This allowed us to prepare both the working environment and the initial instructions needed to move from idea to code generation.

We passed ChatGPT’s prompt to Claude Code without changing it. The HTML page was ready in approximately 4–5 minutes; we then tidied up the code. What accelerated the process was first turning the request into development instructions, then passing those instructions directly to a code-generation tool. This timeframe refers to creating the page in this particular experiment; it would not be appropriate to suggest that the same timing applies to projects with different scopes and requirements. Rapid generation should be viewed as an initial step with a clearly defined scope.

For deployment, we set up a subdomain under our existing domain. We instructed the AI agent managing our experimental server to fetch the code from the GitHub repository, run it in a Docker container and adjust the Cloudflare Tunnel configuration accordingly. After this instruction, the system was up and running within a minute. This made the page created with the development tools accessible by handling the server-side operations through the agent. This step was also part of the workflow carried out in our experimental environment.

The demand that followed the page’s launch led us to consider the possibility of turning the idea into a product. However, initial interest and product validation are not the same thing. A landing page can be a starting point for presenting an idea in concrete terms and observing people’s reactions. Assessing what that interest means requires separate work. We view this experiment as an initial point of contact, not as a finished product or proven commercial success.

The next step in the workflow is to automate deployment through CI/CD. Deploying through an agent in this experiment does not mean that a continuous integration and deployment pipeline is also complete. At X Mind Solutions, this example shortened the path between an idea, code generation and experimental deployment. The resulting site is purely experimental and entails no commitments. When considering a similar approach, it is important to position rapid deployment as a learning step before turning an idea into a product.