Bibliography
2 min readFrom Sovereign AI Engineering by Miguel AmigotLast updated
Sources cited or relied on in the text, grouped by subject. Where a source is a living web page, the address given is the one current at the time of writing; where no stable address exists, the publication is named so the reader can find it.
Standards and protocols
- Anthropic. "Introducing the Model Context Protocol." November 2024. https://www.anthropic.com/news/model-context-protocol
- Model Context Protocol. Specification and reference implementations. https://modelcontextprotocol.io
- The Linux Foundation. Announcement of the Model Context Protocol's move to neutral, foundation stewardship, 2025.
Hardware
- NVIDIA. "DGX Spark." Product specifications. https://www.nvidia.com/en-us/products/workstations/dgx-spark/
- NVIDIA. "DGX Station." Product specifications. https://www.nvidia.com/en-us/products/workstations/dgx-station/
- NVIDIA. "Personal AI Router." Project page and system requirements, September 2026. https://www.nvidia.com/en-us/ai-on-rtx/personal-ai-router/
- Apple. "Mac Studio." Technical specifications. https://www.apple.com/mac-studio/
- Apple. "Mac mini." Technical specifications. https://www.apple.com/mac-mini/
The SaaSpocalypse debate
- Horton, Christine. Coverage of the "SaaSpocalypse" in CRN UK, 2026: whether enterprises will keep paying for software subscriptions when AI lets them build applications themselves, and what happens to per-seat pricing.
Cost and pricing
- ibl.ai. "Pricing." Self-serve credits, the free tier and enterprise terms. https://ibl.ai/pricing
- ibl.ai. "The True Math of Per-Seat University AI." https://ibl.ai/blog/university-ai-per-seat-cost-true-math
- ibl.ai. "Enterprise AI: Ownership vs. Rental Cost." https://ibl.ai/blog/enterprise-ai-ownership-vs-rental-cost
- Amigot, Miguel. Remarks on per-seat list pricing versus developer token pricing, panel on AI and enrollment management, Harvard Graduate School of Education, Leadership in Strategic Enrollment Management, 2026. https://www.gse.harvard.edu/professional-education/program/leadership-strategic-enrollment-management
Architecture and agents
- ibl.ai. "The Five-Layer Agent Architecture: What Ships Is Layer One." https://ibl.ai/blog/five-layer-agent-architecture-what-ships-is-layer-one
- ibl.ai. "NVIDIA PAIR: the Personal AI Router and the Local Inference Cluster." https://ibl.ai/blog/nvidia-pair-personal-ai-router-local-inference-cluster
- ibl.ai. "Your ibl.ai Agents in a Chrome Side Panel, on Any Page." Platform update, October 2026. https://ibl.ai/updates/chrome-extension-agents-side-panel
- ibl.ai. "Shared Memory: Facts Every Agent Chat Starts Knowing." Platform update, October 2026. https://ibl.ai/updates/agent-shared-memory
- ibl.ai. "Security model of a vibe app." Developer documentation. https://ibl.ai/developer/vibe/security-model
- ibl.ai. "How sign-in and organizations work." Developer documentation. https://ibl.ai/developer/vibe/auth-model
- ibl.ai. "Memory System." Platform documentation. https://ibl.ai/developer/platform/agents/memory
- ibl.ai. Agent skills catalogue. https://ibl.ai/developer/skills
- ibl.ai. Platform documentation. https://ibl.ai/docs/os/overview
Source code
- iblai/os. The agent operating system: web, desktop, mobile and the Chrome side-panel extension (
extensions/chrome). https://github.com/iblai/os - iblai/vibe. Skills and the application starter. https://github.com/iblai/vibe
- iblai/infra-cli. Infrastructure provisioning for self-hosted deployments. https://github.com/iblai/infra-cli
- ibl.ai Chrome extension. Chrome Web Store listing. https://chromewebstore.google.com/detail/iblai/gppjhejgkdljdhnmlfghfbalfhgaepfd
Deployments cited
- ibl.ai. "AI Sovereignty at Syracuse University." Case study. https://ibl.ai/case-study/syracuse-university
- Amigot, Miguel. Remarks on a SUNY IITG deployment and on Syracuse's API-based deployment, Harvard Graduate School of Education panel, 2026 (above).
Companion volume
- Amigot, Mikel. The AI-Native University: Blueprint for the Institution of the Future. Memorare Press, 2026. https://ibl.ai/book/ai-native-university
Run the stack this book describes
ibl.ai is the agent operating system you run yourself: you own all the code and the data, in your cloud, on-premise or air-gapped, with any model, one identity across web, browser, desktop, mobile and terminal, and no per-seat pricing.