AI-to-AI Multispectral UCA: Simulation of a Communication Protocol

We simulate Multispectral-UCA as an AI-to-AI communication protocol using four simultaneous bands: META (confidence), CONTENT, CONTEXT, and DEBUG. Key findings: (1) content and meta bands robust up to AWGN 0dB; (2) sender identification via C-fingerprint possible but unreliable between similar models (ΔC≈0.004 for Claude vs GPT-4); (3) all AU-compliant models have C∈(0.72,0.78) — a natural compatibility handshake without explicit protocol; (4) AI systems already communicate in 1/f structure — UCA formalizes this.