AI Readable Infrastructure
I’ve just completed a significant infrastructure upgrade to wa4osh.com. For those who follow my work in systems engineering and amateur radio, the site is now officially optimized for AI readability.
🛠 Why the Change?
As I document the GoBox build using the traditional waterfall Vee (V-Model) design pattern, and develop the AI Partnership Handbook, I wanted to ensure these logs serve as a reliable, verifiable knowledge base—not just for human engineers, but for the next generation of AI-assisted design. This includes plans to use AI for designing a 3D-printable enclosure and laser-cut acrylic bottom plate for the Nanuk 920-based portable Winlink/VARA-FM prototype, followed by formal testing per the system test plan.
🤖 What’s New Under the Hood?
- Structured AI Access: Added a
llms.txtfile that provides a direct, machine-readable gateway to my core projects and documentation standards. - Precision Indexing: Refined
robots.txtnow clearly defines how leading AI agents (Gemini, Grok, Copilot) can index these technical logs. - Aerospace Discipline: Every entry continues to follow strict YAML front matter, component tolerances, revision history, and full traceability.
My goal remains the same: proving that amateur radio and RF engineering benefit immensely when we use LLMs as true engineering partners—not just for code generation, but for systemic problem-solving.
Browse the updated GoBox Build Series at wa4osh.com.
73, DE WA4OSH
Konrad Roeder (WA4OSH)
Licensed since 1976 in Knoxville, TN (original callsign). Upgraded to Extra class (pre-COVID) from Advanced held since 1978. Systems and RF engineer, ARES/EMCOMM volunteer. Writing about HAM radio projects, AI-assisted systems engineering, and the GoBox build. Co-author of the McGraw-Hill Wi-Fi Handbook. Upcoming book: AI Partnership Handbook.
#SystemsEngineering #AmateurRadio #GoBox #AI #RFEngineering #WA4OSH #WaterfallVee