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+export type StackGroup = {
+  id: string;
+  title: string;
+  dek: string;
+  terms: string[];
+};
+
+export const stackGroups: StackGroup[] = [
+  {
+    id: "agentic",
+    title: "Agentic runtime",
+    dek: "Multi-agent collaboration as the default execution model, not a demo.",
+    terms: [
+      "Agentic orchestration",
+      "Multi-agent collaboration",
+      "Vibe-coding surface",
+      "Hyperautomation-compliant",
+      "Digital transformation",
+      "Synergy engine",
+      "PPoE (Private Proof of Enterprise)",
+      "A/B-tested agents",
+      "Optimized decision loops",
+      "Prompt chaining",
+      "Self-consistency",
+      "Token optimization",
+      "Context windowing",
+      "Constitutional AI",
+      "Responsible AI",
+      "Explainable AI",
+      "AI governance",
+      "RLHF",
+      "Causal inference",
+    ],
+  },
+  {
+    id: "data",
+    title: "Data fabric & lakes",
+    dek: "Every lake, including the theoretical ones, is a first-class citizen.",
+    terms: [
+      "Machine learning",
+      "Deep learning",
+      "Data lake",
+      "Dark-matter data lake",
+      "Semantic layer",
+      "Data fabric",
+      "Graph RAG",
+      "Retrieval-augmented generation",
+      "Vector database",
+      "Feature store",
+      "Metric store",
+      "Model registry",
+      "Federated learning",
+      "Multimodal search",
+      "Semantic cache",
+    ],
+  },
+  {
+    id: "cloud",
+    title: "Cloud-native mesh",
+    dek: "Serverless, ambient, and Cilium-powered — with an RTOS personality when the plant requires it.",
+    terms: [
+      "Serverless",
+      "Cloud-native",
+      "DevSecOps",
+      "Service mesh",
+      "Sidecar proxy",
+      "Ambient mesh",
+      "Cilium-powered networking",
+      "eBPF deep inspection",
+      "eBPF service map",
+      "Observability stack",
+      "Distributed tracing",
+      "Zero-touch provisioning",
+      "Declarative infrastructure",
+      "Immutable infrastructure",
+      "Chaos engineering",
+      "Omnichannel deployment",
+      "Energy-aware scheduling",
+      "RTOS",
+      "IoT",
+      "Zero trust",
+    ],
+  },
+  {
+    id: "quantum",
+    title: "Spacetime & quantum",
+    dek: "Space-aware by default. Entanglement-ready APIs. Gravity is just another signal.",
+    terms: [
+      "Quantum computing",
+      "Quantum entanglement",
+      "Quantum-resistant cryptography",
+      "Post-quantum TLS",
+      "Entanglement-ready API",
+      "Spatial computing",
+      "Space-aware scheduling",
+      "Metaverse-ready",
+      "Gravitational-wave detection",
+      "Neutrino-based signaling",
+      "Physics-informed neural networks",
+      "PINN",
+      "SPINN",
+      "SEPINN",
+      "APINN",
+      "Neural ODE",
+      "Neural PDE",
+      "Neural SDE",
+      "Operator learning",
+      "Fourier neural operator",
+      "Deep operator network",
+      "Geometric deep learning",
+      "Equivariant networks",
+      "Graph neural networks",
+    ],
+  },
+  {
+    id: "crypto",
+    title: "Crypto-agility & consensus",
+    dek: "Bitcoin, Dogecoin, and fully homomorphic encryption in the same trust boundary. On purpose.",
+    terms: [
+      "Blockchain",
+      "Cryptocurrency",
+      "Bitcoin",
+      "Dogecoin",
+      "Blockchain-backed consensus",
+      "Zero-knowledge proofs for all APIs",
+      "Fully homomorphic encryption",
+      "Crypto-agility layer",
+      "Confidential computing",
+      "Enclaves",
+      "TEE-based attestation",
+    ],
+  },
+  {
+    id: "bio",
+    title: "Bio-sync & continuity",
+    dek: "From retinal scan to consciousness upload, identity is a pipeline.",
+    terms: [
+      "Neuralink-integrated",
+      "DNA-sequencing pipeline",
+      "Bio-sync authentication",
+      "Retinal-scanning support",
+      "Consciousness-upload endpoint",
+      "Haptic-feedback integration",
+    ],
+  },
+  {
+    id: "trust",
+    title: "Trust, compliance & carbon",
+    dek: "The certifications are load-bearing. So is the sustainability dashboard.",
+    terms: [
+      "SBOM generation",
+      "SLSA Level 3",
+      "FedRAMP High",
+      "SOC 2 Type II",
+      "ISO 27001",
+      "GDPR-compliant",
+      "CCPA-ready",
+      "COPPA-certified",
+      "ESG reporting integration",
+      "GREEN Software Foundation compliant",
+      "Carbon-aware workload placement",
+      "Sustainability dashboard",
+      "ESG-score optimization",
+    ],
+  },
+  {
+    id: "generative",
+    title: "Generative substrate",
+    dek: "Diffusion, flow-matching, and every named video model we could put in a registry.",
+    terms: [
+      "Generative model",
+      "Diffusion model",
+      "Flow matching",
+      "Consistency model",
+      "Latent diffusion",
+      "Stable Diffusion",
+      "DALL·E",
+      "Midjourney",
+      "Imagen",
+      "Parti",
+      "Muse",
+      "VideoLDM",
+      "Phenaki",
+      "Make-A-Video",
+      "Imagen Video",
+      "VideoDiffusion",
+      "Cascaded diffusion",
+      "RAPN",
+      "MAGE",
+      "VQ-VAE",
+      "VQ-GAN",
+      "VAE-GAN",
+      "VAE-diffusion",
+      "Beam search",
+      "Monte Carlo tree search",
+    ],
+  },
+  {
+    id: "transformers",
+    title: "Transformer zoo",
+    dek: "If it has attention — or a paper explaining why it does not — it is in the fabric.",
+    terms: [
+      "Autoregressive transformer",
+      "RNN-transformer",
+      "Linear transformer",
+      "LogSparse transformer",
+      "Performer",
+      "Reformer",
+      "Routing transformer",
+      "Universal transformer",
+      "Adaptive computation time",
+      "Transformer-XL",
+      "XLNet",
+      "BERT",
+      "RoBERTa",
+      "ALBERT",
+      "DistilBERT",
+      "ELECTRA",
+      "DeBERTa",
+      "BigBird",
+      "Longformer",
+      "LED",
+      "SparseBERT",
+      "FNet",
+      "Linformer",
+      "CosFormer",
+      "H-Transformer-1D",
+      "H-Transformer-2",
+      "Synthesizer",
+      "Sinkhorn transformer",
+      "Learned hashing",
+      "Memory-compressed transformer",
+      "Generate-query-key product",
+    ],
+  },
+  {
+    id: "moe",
+    title: "Activations, MoE & PEFT",
+    dek: "SwiGLU through MoGLU. LoRA through DoRA. Experts, sparsely gated.",
+    terms: [
+      "Gated linear unit",
+      "GLU",
+      "SwiGLU",
+      "GeGLU",
+      "ReGLU",
+      "SoGLU",
+      "MoGLU",
+      "Mixture of experts",
+      "MoE",
+      "Sparsely-gated MoE",
+      "Soft MoE",
+      "Task MoE",
+      "PEFT",
+      "LoRA",
+      "QLoRA",
+      "AdaLoRA",
+      "DoRA",
+      "IA3",
+      "Prefix-tuning",
+      "Prompt-tuning",
+      "AdapterFusion",
+      "Compacter",
+    ],
+  },
+  {
+    id: "ssm",
+    title: "Attention-free runtime",
+    dek: "H3 based on Hyena, with Mamba-2 and Griffin, for RWKV-7 attention-free — with Mamba-2.5.",
+    terms: [
+      "Attention-free transformer",
+      "AFT",
+      "RWKV",
+      "RWKV-7",
+      "Mamba",
+      "Mamba-2",
+      "Mamba-2.5",
+      "StripedHyena",
+      "Hyena",
+      "H3",
+      "Griffin",
+      "LMU",
+      "Monarch Mixer",
+      "Mega",
+      "WaveNet",
+      "GNN × Transformer-XL long convolutions",
+    ],
+  },
+];
+
+export const allTerms = stackGroups.flatMap((g) => g.terms);