In-depth technical writing on AI, ML, distributed systems, and modern engineering.
Every engine in the behavioral AI platform self-registers with a metadata object: ID, category, dependencies, compute cost, activation state…
Engines in the behavioral AI platform do not call each other. They emit events and subscribe to topics through an in-process bus. This decou…
Narrative physics models how stories structure behavior. Power dynamics engines detect authority asymmetry. Together they explain why actors…
The foundational engines measure the most basic properties of behavioral data: unpredictability (entropy), information density, spatial topo…
The negotiation engine group detects BATNA positions, recognises tactical patterns, and models authority-dependency relationships — giving p…
Emotional regulation engines detect behavioral signals of stress and dysregulation — without using clinical diagnostic language. This articl…
The motivation hierarchy engine maps Maslow-derived motivation tiers to behavioral signals, scores the dominant motivation level, and detect…
the behavioral AI platform can create a behavioral digital twin of an actor, run scenarios through it using the Behavioral Scripting Languag…
Epistemic engines model what an actor believes to be true, how that differs from what is actually true, and how certain the system itself is…
Institutional behavior, physical and social constraints, and recursive self-improvement — the adaptive human systems engines ground the beha…
Four decisions: which engines, how to weight them, how to write the governance wrapper for your domain, and how to hit 75/75 test coverage. …
Loading agent modes per client, composing tone + personality + RAG + capability fragments, defending against prompt injection in admin-suppl…
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