About

FitThali Recipes is an experimental project exploring the intersection of AI content generation and static site architecture. It is built with:

• Inspired by — https://recipe.polente.de/
• Eleventy (11ty) — static site generator
• Tailwind CSS — utility-first styling
• AI — gemini-3-flash-preview for recipe text and gemini-2.5-flash-image for image generation
• Vercel — hosting and deployment

This project is for educational and demonstration purposes. It is not intended as a commercial recipe platform or a substitute for professional culinary or nutritional guidance.

Static-first architecture. FitThali is a fully static site — no server-side rendering on each request, no database queries, no always-on application server. Pages are pre-built at deploy time and served as plain HTML files from a CDN edge node closest to you. This means near-zero compute energy per page view.

Minimal page weight. Each page is optimised for performance: small HTML documents, utility CSS with unused styles purged at build time, and no client-side JavaScript frameworks. A lighter page means fewer bytes transferred, which translates directly to less energy used by networks and devices.

Green hosting. The site is deployed on Vercel, which runs on renewable energy-backed infrastructure. Serving from edge locations also reduces the physical distance data travels, lowering network energy consumption.

AI generation trade-off. While the content is generated using AI models — which do consume energy during the generation process — this cost is incurred once at build time, not on every visitor request. The resulting static pages have an extremely low ongoing carbon cost compared to dynamic, server-rendered applications.

You can test any page on Website Carbon Calculator to see its estimated carbon footprint per visit.