Building Custom Websites via Veeso AI and Claude Code

The Breakthrough

The author demonstrates a design-to-code workflow that bypasses traditional template-based tools by using Veeso AI to generate custom visual assets, which are then exported as HTML to serve as the structural and stylistic blueprint for Claude Code.

What Actually Worked

• Content-First Generation: Instead of selecting a template, the user inputs raw text or PDFs into Veeso AI to generate custom layouts, which allows for specific content requirements to dictate the design rather than the inverse.
• Style Transfer via Reference: To maintain brand consistency across different assets, the user exports a preferred design as a PNG and uploads it back into the Veeso AI chat, prompting the model to apply the existing font, color palette, and layout style to new documents or carousels.
• HTML Export for Development: The user selects specific design frames within Veeso AI and exports them as HTML files, providing Claude Code with a concrete visual and structural reference point.
• Claude Code Prompting: By attaching the exported HTML file to a Claude Code session, the user instructs the model to build a functional landing page that mirrors the design, layout, and content of the Veeso-generated file.

Context

The author addresses the limitations of template-heavy tools like Canva, which often force users to adapt their content to pre-existing structures. By utilizing Veeso AI to generate bespoke designs from scratch and leveraging Claude Code to translate those designs into code, the author creates a repeatable pipeline for building custom web interfaces without manual front-end coding.