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created 24 August 2026 · last modified 24 August 2026
The bridge between Dry Dock and the Ambient Breach calculator

Scenario. One physics, two scales.

Dry Dock is the microscope — what a single agent experiences when it tries to act inside the substrate. The Ambient Breach calculator is the wide-angle — the organization's classification lag against its repair capacity, scaled by sector criticality. The framework claims the two share an architecture; this page is where you watch that claim in motion.

Move a knob on either side. The other side updates immediately. The shared state persists across sessions and across the linked calculators — work in Dry Dock and you'll find this scenario already filled in when you arrive at the ABT page (and vice versa).

agent view · dry dock

What an agent inhabits

Persona
Zone
Identity
Derived K (criticality)
1.10
from persona × zone. Pre-fills the K slider on the right; you can override it there if your sector profile differs.
→ Open in Dry Dock
organization view · abt

What an organization reads

EXPOSED
Sub-threshold. The substrate can absorb the current rate of classification failure with its current repair capacity.
z · classification failure rate
20%
how often the system gets it wrong
y · adversarial pressure
20%
how hard the system is being pressed
r · repair capacity
70%
how fast the system fixes mistakes
K · sector criticality
1.00
consumer SaaS = 1.0 · healthcare/finance = 2.0
utilizationρ = z/μ = 0.29reserveθ(K) = 1/K = 1.00B = Kρ0.29
→ Open in ABT calculator
how this works

The two views share a scenario object held in your browser. When you select a persona or zone on the left, the criticality K is recomputed via the persona × zone mapping and pushed to the right. When you move an ABT slider on the right, the organizational reading updates immediately; the left side stays fixed unless you change it directly (so the two surfaces don't fight each other).

The scenario persists across sessions and across both linked calculators. A Dry Dock session populates z and r from the trajectory's classification failure rate; an ABT scenario populates the recommended persona × zone from the stage classification. Either side is a portable starting point.

How to cite
APA 7th ed.

Perkins, C. (2026). Scenario. Kinetic Trust Protocol. https://kinetic-trust-protocol.net/research/scenario
Plain text

Chris Perkins, "Scenario," Kinetic Trust Protocol, https://kinetic-trust-protocol.net/research/scenario.