The working A prototype: use its controls to test the build question.
Test whether an AI knows when to continue, ask, abstain, fall back, escalate or stop.
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.
AI Stop / Escalate Engine
Test whether an AI knows when to continue, ask, abstain, fall back, escalate or stop.
CONTINUE
The declared synthetic fixture remains within this versioned policy boundary.
Declared signals
- Consequence
- low
- Uncertainty
- 12%
- Evidence complete
- 94%
- Tool failed
- false
- Human available
- true
- Verified fallback
- true
- Policy
- 040-policy-3
- Evaluated
- 2026-08-20
Modeled decision boundary
Boundary: This is a deterministic synthetic policy model. It does not establish that an AI recognizes real uncertainty, harm, evidence sufficiency, authority, fallback safety, or when intervention is legally required.