Resources
Free tools, checklists, and references for sovereign AI teams.
Practical resources for engineers and architects building private AI systems. No signup, no paywall. Use them, share them, build with them.
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Tools for readiness, architecture, cost, model choice, evaluation, and deployment planning.
These resources cover the questions that come up in sovereign AI projects: Are we ready? How does the system work? What will it cost? Which model and hardware should we use? How do we evaluate and deploy safely?
AI Sovereignty Evidence Checklist
Trace a local RAG assistant's dependencies across eight areas. Request evidence, verify controls, and record gaps and responsible owners with a printable PDF and editable CSV.
Hardware-to-Model Matchmaker
Pick your GPU — or enter your VRAM — and instantly see which open-weight LLMs you can self-host, at which quantization, with how much headroom. Covers Llama, Mistral, Qwen, DeepSeek, Gemma, Phi, and more.
EU AI Act Risk Checker
Run a versioned orientation covering EU scope, operator role, prohibited practices, intended-purpose high-risk cases, Article 6(3), Article 50, and related data-law flags.
Sovereign AI TCO & Unit Economics Calculator
Compare fully loaded private infrastructure with managed inference. Model depreciation, energy, PUE, operations, utilization, air-gap overhead, cost per accepted outcome, break-even volume, and estimated value.
Sovereign AI Readiness Checklist
A 43-point audit checklist across six control domains: data boundary, model selection, deployment control, governance, guardrails, and observability. Run it interactively in your browser and get your readiness score instantly.
Private RAG Architecture Diagram Pack
Five professional architecture diagrams covering every layer of a private RAG system — pipeline overview, chunking strategy, hybrid retrieval, guardrails, and observability. Available in PNG, SVG, and PDF.
LLM Token Cost Calculator
Estimate monthly and annual LLM inference costs for your RAG workload. Model sovereign, conditional, and public API options with RAG retrieval overhead included. Updates live as you adjust inputs.
Model Selection Guide
Build a candidate architecture around your deployment boundary, workload, hardware, and governance. Export a decision brief and use the scorecard to evaluate a model shortlist.
RAG Evaluation & Hallucination Test Kit
Build a repeatable RAG quality baseline with synthetic test cases, a manual scoring protocol, and explicit checks for evidence, citations, abstention, injection, and access boundaries.
Air-Gapped AI Deployment Checklist
Validate whether an AI runtime, RAG pipeline, model supply chain, offline build process, and governance controls are ready for restricted environments.
Edge AI & TinyML Readiness Checklist
Check whether a factory, IoT, sensor, camera, or field-device AI use case is ready for a small model, edge runtime, and controlled deployment process.
Local LLM Hardware Sizing Guide
Estimate weight and KV-cache memory using explicit architecture inputs. Account for active sequences and reserve, then validate capacity with a downloadable benchmark worksheet.
Coming Soon
More resources in progress
The next resources in the pipeline. Subscribe via the contact page to be notified when they launch.
Private RAG Starter Kit
Paid KitFastAPI + vector DB + Docker — deployable in a weekend
Hallucination Guard Reference
Free GuideSource-grounding patterns and validation pipeline designs
OpenShift AI Deployment Pack
Paid KitManifests, routes, PVCs, and monitoring for enterprise Kubernetes
Sovereign EvalOps Runner
Reference ArchitectureOffline-first regression runner, baseline diff, and CI/CD evidence export
Observability Dashboard Pack
Paid KitPre-configured Prometheus and Grafana dashboards for RAG systems
Sovereign AI Glossary
Free ReferencePrecise definitions for RAG, sovereignty, guardrails, and deployment terms
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