AI Website School

AI Website School is a structured training program focused on teaching an end-to-end workflow for designing and building websites using artificial intelligence alongside established design tools. The learning journey begins with an orientation to the overall process, where you see how AI, Figma, and a component-based approach fit together into a single repeatable system. Early lessons clarify the concept of an AI-assisted workflow, explaining what tasks remain in your control as the designer and which tasks are delegated to the AI. You are guided through how to think about the website as a system of sections, components, and interactions rather than as a collection of isolated pages.

From there, you move into the initial planning and discovery phase of a website project. You learn how to define the goals of the site, outline key pages, and capture brand requirements such as tone, colors, typography, and visual direction. The training shows how to translate these inputs into prompts and references that AI tools can reliably interpret. You see examples of how to structure text prompts for Claude and how to pair those prompts with visual references so that generated code and layouts align with the intended design system instead of deviating randomly.

Next, AI Website School dives into designing the visual system in Figma. You are walked through the process of creating grids, spacing systems, typography scales, and reusable components that will become the foundation for the site. The lessons cover how to design hero sections, content blocks, navigation, footer structures, and interactive elements with clarity and consistency. Along the way, you learn how to prepare Figma files specifically for collaboration with AI, including naming conventions, layer organization, and export strategies that make it easier for AI to understand and replicate your intentions.

Once the visual system is established, the course shifts toward integrating AI into the build process through the Claude Agents Automation Flow. You learn how to capture sections from Figma as images or structured descriptions and provide them to Claude in a way that produces usable HTML and CSS. The training explains how to iterate on generated code, identify where structure is correct but styling needs refinement, and request targeted changes from the AI agent. You are shown how to break the site into components, guide the AI to build those components piece by piece, and assemble them into coherent pages without losing control over the final result.

As you progress, you explore how to handle interactions and animations within this AI-assisted workflow. Lessons demonstrate how to specify scroll behavior, hover states, and other micro-interactions using a combination of Figma prototypes and descriptive prompts. You learn how to evaluate AI-generated interaction code, adjust timing and easing, and ensure that motion supports the design rather than distracting from it. This stage emphasizes practical judgment: understanding when AI output is good enough to keep, when manual refinement is necessary, and how to avoid overcomplicated effects that reduce maintainability.

The program then guides you through assembling the full website from the individual components and sections. You learn how to maintain consistency across pages, enforce the visual system you defined earlier, and manage layout variations while preserving core patterns. The training shows how to structure the site’s files so that future adjustments remain simple, and how to use AI to help refactor or reorganize code when the project grows. You also see how to handle content updates, including using AI to generate first-draft copy based on the site’s purpose and then editing that copy so that it matches the intended voice.

After the build phase, AI Website School covers preparing the project for deployment. You learn how to test the site across different devices and screen sizes, checking responsive behavior and performance. The lessons explain how to use AI as a support tool for debugging layout issues, optimizing sections, and cleaning up unused code. Once the site is stable, you are guided through the steps to push the project live on a hosting provider, configure essential settings, and verify that everything functions as expected in a real environment.

In the later part of the training, attention shifts to presenting and positioning the finished website as a premium deliverable. You learn how to document your process so that clients understand the value of the work and see the structure behind the design. The course explains how to capture screenshots, short walkthroughs, and structured notes that communicate how the site is built and how it can be extended. You are shown how to organize these assets into a portfolio entry or case study format that highlights both the design quality and the systematic workflow you followed.

Throughout AI Website School, the emphasis remains on building a repeatable method rather than chasing trends or isolated tricks. By the end, you are able to move from a project brief to a deployed site using a clear sequence of steps: defining goals and brand requirements, designing a coherent visual system, collaborating with AI to generate and refine code, implementing interactions, testing and deploying, and documenting the result for future work. The aim is that you finish the program with a practical workflow you can apply to client projects, personal sites, or new experiments, confident in how to use AI as a structured partner in modern web design and development.

Who this course is for: