Studies
Architectural research and scientific explorations from the Dexter project.
Architectural Study: Empirical Validation of Asynchronous Multi-Modal Orchestration
This study documents the empirical validation of the Dynamic 4-Variant Model Orchestration system implemented within the...
Dynamic VRAM Orchestration: Asynchronous Multi-Modal Balancing for High-Latency AI Ecosystems
Modern AI ecosystems running on consumer-grade hardware face a fundamental bottleneck: the "VRAM Ceiling." As interactio...
Lazy Summarization: Scaling Recursive Context Without Sacrificing Interaction Latency
Large context windows are the foundation of intelligent AI interactions, but they impose a severe "Latency Tax" as histo...
High-Fidelity Audio Pipelines: Engineering Low-Latency Voice Interaction in Distributed AI
Voice interaction is the most intimate and technically demanding form of human-AI engagement. Achieving a "zero-latency"...
Distributed Event-Driven Intelligence: The Redis-Backed Central Nervous System of Dexter
Traditional AI bots are monolithic entities that fail when their primary process is interrupted. Dexter (M.XIV) utilizes...
Deterministic VRAM Harmony: Orchestrating Multi-Model Intelligence on Consumer-Grade Hardware
Running modern Large Language Model (LLM) ecosystems on consumer-grade hardware (specifically cards with 8GB VRAM) prese...
Divergent Cognitive Architectures: Balancing Structural Integrity and Interaction Fluidity in Multi-Agent Ecosystems
In the development of the Dexter ecosystem (v7.1.4), two distinct cognitive processing pipelines have emerged: the Synch...
The 7-Part Versioning Standard: Absolute Traceability in Autonomous Recursive Engineering
Standard Semantic Versioning (SemVer) was designed for human-driven, linear software releases. It is fundamentally insuf...