Applied on engagements — and formalized in the research.
Holological Engineering is specified by a corpus of standards, requirements, and katas, minimum and sufficient to solve complex problem spaces by a human, AI, or both.
These are some examples of holologically engineered artifacts.
Decide whether a machine concept can work — before building it. Whitepaper plus deterministic reproduction scripts.
github.com/jsuich/constraint-first-feasibility (v1.0.0)A six-step audit that reconciles what a system says it holds with what it actually holds.
github.com/jsuich/witnessed-vs-carried (v1.0.0)Vendor-agnostic measurement of AI model internals, with falsification built in. Cross-model evaluation preprint.
github.com/jsuich/probe-ontology-universality (v1.0.0)Bound what an interruption can destroy. Structure work so the blast radius of a context loss is a known, small number.
github.com/jsuich/window-containment (v1.0.0)Turn working habits into checkable agreements — so discipline survives contact with deadlines.
github.com/jsuich/practice-contracts (v1.0.0)A repository scaffold for deep work that survives interruption: timeboxed sessions, decision logs with provenance, a cold-start invariant.
github.com/jsuich/engineering-bench-template (v1.0.0)A schema-validated Model Context Protocol server over US natural-hazard data — NWS, USGS, FEMA, Census. The method, running.
github.com/jsuich/mcp-hazards (v1.0.0)Applied on engagements — and formalized in the research.