A collection of design patterns, implementation frameworks, and practical guides exploring AI-assisted development, intelligence system architecture, and semantic intent patterns. All content is available for use and citation under Creative Commons licenses.
Published Research
Abstract
Introduces a three-dimensional framework for intelligence system architecture that maps computational priorities to natural foraging behaviors. The Sound dimension addresses real-time urgency, Space manages structural complexity, and Time handles continuity and memory. Demonstrates how observable property anchoring creates trustworthy, auditable intelligence systems across domains.
Framework Overview
CORMORANT_FORAGING_FRAMEWORK:
├── Sound Dimension (Urgency & Prioritization)
│ ├── Real-time decision urgency mapping
│ ├── Observable signal strength anchoring
│ └── Applications: Fraud detection, algorithmic trading, sepsis prediction
│
├── Space Dimension (Structure & Relationships)
│ ├── Geometric relationship modeling
│ ├── ICE scoring (Insight × Context × Ease)
│ └── Applications: Portfolio architecture, supply chains, compliance networks
│
└── Time Dimension (Memory & Continuity)
├── Temporal decay and relevance weighting
├── Historical context preservation
└── Applications: Customer lifetime value, audit trails, equipment history
Abstract
Introduces a design pattern for building complete systems through three complementary dimensions—Time (memory/state), Space (structure/process), and Sound (communication/intelligence)— that interact via different mathematical relationships to produce emergent properties. Demonstrates cross-domain applicability through implementations in enterprise systems, AI frameworks, and intelligence tooling.
Pattern Framework
TRIADIC_EMERGENCE_ARCHITECTURE:
├── Time Dimension (State/Memory)
│ ├── Exponential complexity management
│ ├── Event sourcing, temporal databases
│ └── Examples: GESA, WakeIQX, Intent (ICE)
│
├── Space Dimension (Structure/Validation)
│ ├── Multiplicative validation gates
│ ├── Schema definitions, business rules
│ └── Examples: Work Order Creating, PerchIQX, Engine (ICE)
│
└── Sound Dimension (Intelligence/Communication)
├── Additive insight accumulation
├── AI diagnostics, confidence scoring
└── Examples: MILLWRIGHT AI, ChirpIQX, Chirp (ICE)
EMERGENCE = Time × Space × Sound
→ Self-correcting, predictive, context-aware intelligent systems
Abstract
Presents a unified approach that combines semantic anchoring (WHAT) and intent mapping (WHY) into atomic behavioral contracts protected by immutable governance mechanisms. Demonstrates 78% improvement in behavioral differentiation and elimination of WHAT/WHY synchronization problems in AI-assisted development workflows.
Research Impact
SEMANTIC_INTENT_RESEARCH_IMPACT:
├── Performance Improvements
│ ├── Behavioral Differentiation: 78% faster pattern recognition
│ ├── Debugging Resolution: Weeks → Minutes
│ └── Synchronization Bugs: Zero post-implementation
│
├── Theoretical Contributions
│ ├── Semantic Anchoring Principle
│ ├── Contract Unification Theory
│ └── Immutable Governance Patterns
│
└── Practical Validation
├── Production System: Enterprise-scale PDF differentiation
├── Test Cases: X7QL92MH (9 pages), 60B3RNTB (16 pages)
└── Implementation: Open source framework
Papers in Preparation
ChirpIQX: Sound Dimension in Fantasy Sports Intelligence
Expected Q2 2025
Application of the Sound dimension from Cormorant Foraging to fantasy sports decision-making. Explores real-time player performance urgency mapping and waiver wire prioritization strategies.
PerchIQX: Space Dimension in Database Schema Analysis
Expected Q2 2025
Geometric relationship modeling for database schema optimization. Demonstrates how spatial intelligence frameworks improve query performance and data locality.
WakeIQX: Time Dimension in AI Context Management
Expected Q3 2025
Temporal decay patterns for AI conversation context management. Explores how time-aware memory systems improve long-running AI agent performance.
Cross-Cutting Research Themes
Observable Property Anchoring
All frameworks prioritize measurable, verifiable properties over speculation. This epistemological consistency ensures trustworthy, auditable systems across domains from financial services to healthcare.
AI-Assisted Development
Research focuses on clear semantic boundaries that enhance human-AI collaboration while maintaining architectural integrity and intent preservation throughout development workflows.
Multi-Dimensional Intelligence
Systematic exploration of how different dimensions (Sound/urgency, Space/structure, Time/memory) combine to create robust intelligence systems adaptable across industries and use cases.
How to Cite This Documentation
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ORCID: 0009-0006-2011-3258
DOI: 10.5281/zenodo.17114972