Interactive frameworks for AI assurance, usage maturity, and professional practice
AI Assurance & Practice
Interactive diagrams and taxonomies I use when teaching professionals how to think about AI systems — not just as tools, but as computational tiers with different assurance properties and governance requirements.
Seven tiers of compute, from fixed-point mainframes to generative models, framed as a hierarchy of reproducibility, error characterization, auditability, and well-posedness.
View interactive page →A practical ladder from naive prompting to multi-agent orchestration that maps what teams are actually doing with AI to clear levels of capability and governance.
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Last updated: 3/9/2026