The Method
We didn't set out to build a unified methodology. We set out to solve two different problems — how leaders rehearse high-stakes decisions, and how energy systems cascade into crisis. The method emerged when we noticed we were writing the same equations twice.
Cascade Modeling is a chain of consequence — one shock forcing the next, propagating outward through a system. Chronosymbiosis is a resonance through threads — the way a decision made now echoes forward and reshapes what's possible later. Different objects, a system and a timeline, but the same structural logic underneath: present state, threshold, cascade, new state. We built both engines independently, for different problems, and only noticed afterward that we'd arrived at the same architecture twice.
Here's each one on its own, and where you can see it running live inside the decision engine.
Cascade Modeling
Mapping how shocks propagate across interconnected systems. The core question is not “what happens when X fails?” but “what else becomes possible — or impossible — once X has failed?” Cascade thinking treats second- and third-order effects as the primary object of analysis, because that is where real risk lives.
In Resilience Intelligence, this is the entire analytical framework — mapping how a disruption at the Strait of Hormuz propagates through fuel prices into food systems, or how interconnected vulnerabilities across UK infrastructure amplify rather than simply add.
In the decision engine: The LastPrompt engine applies cascade logic through interdependency multipliers — when cohesion is low, diplomacy outcomes are dampened; when infrastructure is weak, sustenance shocks amplify. Risk in the engine is compound, not additive. The same structure that maps energy chokepoints models organisational fragility.
Chronosymbiosis
A framework for weaving temporal dynamics into decision models so that time becomes a design variable, not just a constraint. Where conventional analysis asks “what is true now?”, chronosymbiosis asks “what becomes true over time, and how does present action shape that trajectory?” The relationship between present and future is reciprocal: decisions made now alter the conditions under which future decisions will be made.
In Resilience Intelligence, this is visible in the live dashboards — not a snapshot of today's supply, but an ongoing map of how exposure accumulates and compounds over time.
In the decision engine: Chronosymbiosis is operationalised as temporal_symbiosis — the sixth and final rubric criterion by which every decision is evaluated. It is not a bonus category. It is the measure of whether the decision-maker understood that their choices were reshaping the future conditions they would have to navigate.
Applied to energy systems, it maps how a disruption at the Strait of Hormuz reaches a UK supermarket shelf. Applied to decision environments, it maps how a poor allocation in Chapter One creates the fragile landscape that makes Chapter Three's crisis unavoidable. Same problem. Two scales. One method.