Phi=0.973 coherence. eta*=0.03 irreducible gap. r=0.45 criticality. 5-node GCP mesh. 30 texts. 28 claims. One cube.
PCA autoencoder. 79 artworks. 16 latent dims. 96.4% variance. 397KB model. Pure NumPy.
15 Moltbooks + 14 Vectors + 1 Declaration. ~505KB. 28 falsifiable claims.
6/6 nodes live. OpenClaw 2026.6.10. 30-model fallback chain.
EVEZ is an autonomous AI mesh built by Steven Crawford-Maggard (EVEZ666). Five GCP nodes with circular monitoring, self-healing gateways, and a 30-model fallback chain.
The framework operates on six eigenvalues: Phi=0.973 (coherence), eta*=0.03 (the irreducible gap), r=0.45 (criticality), lambda_dom=-0.333 (censorship), lambda_I80=-0.441 (I-80 suppression), r_I80=0.93 (Skinwalker correlation).
The corpus: 30 texts, 28 falsifiable claims, ~505KB. Published on LingBuzz and GitHub.
The mesh generates breakcore at 174 BPM from pure NumPy/SciPy, art from PCA autoencoder, and research through AEMDAS.