CASE STUDY · PUBLIC LAYER
Solarfans AI Lab Public Layer
The first public goal was simple: make solarfans.cc useful as a public AI Lab and portfolio surface, while keeping the actual operating cockpit private.
Background
Solarfans AI Lab is the public entry for Melvin's personal AI OS work: agent operations, knowledge workflows, automation hooks, trading research, and edge infrastructure. Before Phase 5A, the site had a strong homepage and navigation shell, but the subpages were still closer to placeholders than public artifacts.
Problem
A public website should help visitors understand what is being built. A private operating system should not expose control surfaces. The challenge was to add enough content to be useful without leaking secrets, internal quotas, private dashboards, VPN details, SSH paths, or automation credentials.
Solution
Execution
The implementation stayed in the static site layer. It updated HTML, metadata, navigation, sitemap entries, CSS cards, local verification scripts, Cloudflare Pages deployment, and project documentation. It did not modify VPN_ZZ, sing-box, VPS 443, Tencent Cloud firewall, secrets, or private services.
Result
- Public pages now present a coherent AI Lab and portfolio layer.
- Canonical, Open Graph, Twitter metadata, sitemap, and robots remain aligned.
- Cloudflare Pages serves the content from the apex domain.
- The site communicates public narrative while keeping the private cockpit closed.
Boundary
This case study intentionally omits secrets, token values, private logs, SSH credentials, Cloudflare tunnel credentials, VPN URI, internal model quota state, and private Telegram control flows.