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The 34-Engine Registry — Design and Metadata
Every engine in the behavioral AI platform self-registers with a metadata object: ID, category, dependencies, compute c…
The Control Plane — Orchestrating an AI Pipeline
The control plane reads the engine registry, runs a topological sort to produce dependency-ordered execution batches, r…
Confidence Propagation in Multi-Engine Systems
A score without a confidence measure is just a number. This article explains the propagation formula — base × evidence …
Explainability Traces as First-Class Objects
the behavioral AI platform generates causal traces at scoring time — not post-hoc. Each trace contains the full evidenc…
The Behavioral Event Bus
Engines in the behavioral AI platform do not call each other. They emit events and subscribe to topics through an in-pr…
Governance Wrappers — Enforcing Safe Language
Before any engine output reaches a product adapter, the governance wrapper applies a safe-language map, runs harm-detec…
The Shared Behavioral Ontology
With 34 engines all measuring overlapping dimensions of behaviour, semantic drift is inevitable without a shared vocabu…
Foundational Engines — Behavioral Entropy, Information Theory, Geometry
The foundational engines measure the most basic properties of behavioral data: unpredictability (entropy), information …
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