A portfolio designed for people, search engines and AI answer systems.

This page explains simply how the site is organized: dedicated routes, metadata, schema markup, local knowledge base, AI assistant, robots, sitemap and llms files.

Information architecture

The portfolio uses a hybrid structure with an editorial home page, localized routes, dedicated topical pages and single case study built for navigation and indexability.

Knowledge and AI layer

The AI assistant uses a local markdown knowledge base, document retrieval and a server-side prompt constrained to the portfolio content.

Search and discovery

Metadata, JSON-LD, sitemap, robots, Open Graph and llms.txt help search engines and answer engines understand the structure and content more clearly.

Citability

Each page makes role, context, technologies, outcomes and takeaways explicit to reduce ambiguity and improve summarization and citation.