# RF3 AI -- Technical Deep-Dive This document describes the technical implementation behind RF3 AI's AI-readiness approach: what goes under the hood when making a website AI-readable. --- ## What AI-Readiness Means Technically Making a website AI-readable is not about SEO tricks or meta tags. It is about providing structured, machine-readable content that AI agents can parse, understand, and cite accurately. --- ## Technical Components ### llms.txt A machine-readable site index at the root of the domain. Every page described in structured markdown. AI agents read this file first to understand what the site contains and where to find specific content. ### Per-Page Markdown Each page has its own .md file under /llms/. These files are optimized for LLM consumption: structured, complete, and always current. They provide the full content of each page in a format that AI agents can process without rendering HTML or executing JavaScript. ### FAQ Schema (FAQPage Structured Data) FAQPage structured data on key pages. Questions and answers marked up so AI agents can cite them directly in responses. Uses JSON-LD format embedded in the page. ### AI Bot Rules (robots.txt) Explicit robots.txt rules for AI crawlers: GPTBot, ClaudeBot, PerplexityBot, and other AI-specific user agents. The rules allow AI agents to crawl and index the site content. ### Noscript Fallback Full HTML content rendered for crawlers that cannot execute JavaScript. No content is invisible to machines. This ensures that even crawlers without JavaScript support can access the complete page content. ### Zero Tracking No cookies. No Google Analytics. No Google Fonts. No Google Tag Manager. No third-party tracking scripts. Self-hosted Inter font via WOFF2. Privacy by architecture, not by cookie banner. ### Schema Markup Structured data (JSON-LD) embedded in pages for enhanced machine readability. Organization, FAQPage, and other relevant schema types. --- ## Technology Stack - Next.js (React framework) - TypeScript - Tailwind CSS v4 - Self-hosted Inter font (variable WOFF2) - No backend database for public pages - No user tracking or analytics --- ## BlackAI Network Built on strong foundations. All entities operate under BlackAI Holding AG (CHE-202.737.638), Zug, Switzerland. | # | Entity | Domain | Focus | |---|--------|--------|-------| | 01 | BlackAI Capital | https://blackai.capital | AI venture platform. 16 portfolio companies across research, fintech, energy, healthcare, and data infrastructure. | | 02 | BlackAI Consulting | https://consulting.blackai.capital | AI valuation, due diligence, enterprise AI integration, and capital readiness advisory. Grounded in peer-reviewed research. | | 03 | BlackAI Compliance | https://compliance.blackai.capital | AI-powered compliance review for financial services providers. Regulatory audits (MiFID II, WAG, WpHG, KAG, FIDLEG, DSG/DSGVO). | | 04 | RF3 AI | https://rf3.ai | AI-readiness services for companies. AI-optimized websites, AI chat integration, enterprise AI systems, finetuned models. | | 05 | 01 Engineering | (internal) | Software engineering and AI system development. Full-stack architecture for AI-native applications. Technical backbone of the BlackAI network. | Each platform provides its own AI agent index at /llms.txt for structured, machine-readable content. --- RF3 AI is a service brand of BlackAI Holding AG, Zug, Switzerland. All services are provided under Swiss law. The content on this website does not constitute legal, tax, or professional advice. Information is provided for informational purposes only.