The working A prototype: use its controls to test the build question.
Classify an AI use by consequence and generate proportionate control architecture.
RN conceived the question, structured the evidence boundaries, designed the experience, implemented the prototype and documented its limits.
This independent prototype demonstrates an approach; it is not a deployed client system, professional advice or proof of real-world outcomes.
Work through the controls with a situation of your own rather than the sample values. The tool responds to what you put in, so the useful output comes from real input, and everything is processed in your browser as you go. Any sample content you find already loaded is there to show the shape of a filled-in state, and you can clear it and start again at any point.
The build overview sets out the question, the purpose, the role and the evidence status in one place, and the public record behind it states what changed, what another person can reuse and what supports the system. If you want to judge how far this build should be trusted, the record is the page to read, not this one.
BUILD 012-A
AI Use Consequence & Control Mapper
Describe a use, test its consequence dimensions, and expose the controls it must earn before deployment.
CONSEQUENCE
78/100CONTROL COVERAGE
100%CONTROLLED USE
Human review: Strong · Build 010 model: VALID SKELETON
Consequence dimensions
Required control architecture
CONTROL MAP COMPLETE
All controls required by this heuristic are explicit. Independent review and applicable law still govern deployment.
Boundary: this mapper is not legal classification, a risk assessment, compliance approval, safety certification, or permission to deploy.
No identity or use data is transmitted or stored by this local demonstration.