Decision Intelligence
Full detail coming soon. In the meantime, the methodology lives at last-prompt.com and the academic framework is on SSRN.
LastPrompt — last-prompt.com
This site exists because the decision engine kept being misread. Every explanation — human and AI — tried to fit it into an existing category: game, simulation, training tool, self-help. It is none of those things. Last-prompt.com is the most complete account of what it actually is and how it works.
Published Research — SSRN
The formal academic articulation of the Decision Intelligence framework — the theoretical architecture, notation, and rigorous underpinning behind the decision environment.
Read on SSRN →Chronosymbiosis + Observer Patch Holography (OPH)
Chronosymbiosis treats time as a design variable — not a constraint — so that present action and future state shape each other reciprocally. Observer Patch Holography, developed by Bernhard Mueller, maps how each observer holds a partial patch of a complex system and navigates from within that partiality rather than pretending to see the whole. Together they form the theoretical core of the decision environment.
Cross-pillar connection: Energy supply shocks are precisely the kind of high-stakes, low-rehearsal scenarios this decision environment is built for. The cascade models in Resilience Intelligence feed directly into the scenario architecture — Resilience Intelligence →