Technology
Stack
Registry
Formal classification of the software architecture and interaction metaphors governing the BoardGo human-computer interface research initiative.
Interface
Metaphors
We categorize AI systems by how humans encounter their intelligence. This taxonomy defines the boundaries of user agency and cognitive demand.
The Canvas Model
Iterative, non-linear creative workrooms where AI assists in manipulating objects across a persistent space. Best suited for complex design and knowledge mapping.
The Chat Engine
Linear inquiry-response cycles characterized by natural language processing. Ideal for rapid information retrieval and task-specific text generation.
Zero-UI Systems
Implicit interaction patterns where AI operates as a background observer, optimizing environments without direct command-line input or visible windows.
Hybrid Frameworks
Integrating voice interaction and augmented reality visuals to create a 360-degree sensory envelope for computer-human collaboration.
Stack Anatomy
Interaction
The human touchpoint and visual bridge.
Cognitive Logic
Orchestration and memory retrieval.
Perception
Environmental and sensory processing.
Framework Archive A1
Interface Fossil B-7
Neural Bus Unit
Technical
Vault
Operational documentation for implementing HCI principles in production AI environments. Access our peer-reviewed interaction frameworks and heuristic checklists.
Inquire for AuditsThe Transition Guide
Navigating the shift from traditional Information Architecture to AI interaction logic.
Heuristic Checklist
A 10-point evaluation framework for identifying friction points in AI wait-states.
Agentic Design Patterns
Technical specifications for background agent behavior and implicit user prompting.
Perception Benchmark
Standards for visual processing latency in multimodal AR systems.