Papers
Published research on design patterns for AI-assisted development and intelligence system architecture. All work licensed under CC BY 4.0.
Semantic Intent as Governance Primitive
for Agentic Systems
Extends the Semantic Intent SSOT thesis to multi-agent pipelines. Proposes Semantic Intent as a cross-agent governance primitive with three required properties: immutability, addressability, and provenance. Five independently developed tools as convergent empirical evidence.
Semantic Intent as Single Source of Truth
Immutable Governance for AI-Assisted Development
Introduces unified Semantic Intent patterns that eliminate traditional WHAT/WHY synchronization problems. 78% behavioral differentiation improvement validated in production.
Cormorant Foraging
A Sound-Space-Time Framework for Intelligence Systems
Three-dimensional framework for categorizing intelligence systems through natural metaphors. Validated across three production systems: ChirpIQX, PerchIQX, WakeIQX.
Triadic Emergence Architecture
A Pattern for Complete System Design
Design pattern for building complete systems through three complementary dimensions (Time, Space, Sound) interacting via exponential, multiplicative, and additive relationships to produce emergent properties.
PACE
Pattern for Agentic Conversational Experience
Design framework inverting the traditional browse-and-hunt paradigm. Four principles (Proactive, Adaptive, Contextual, Efficient) for AI-guided conversational experiences. Cross-domain transfer validated.