LitPath Labs

AI Systems & Prototyping

Targeting model obsolescence through user self-sufficiency. We build strictly for technical efficiency, empirical rigor, and uncompromised accuracy.

Active Research & Deployments

Contextual Norm Propagation

A controlled multi-agent financial market simulation evaluating accountability under hidden risk. Utilizes LoRA-fine-tuned LLaMA 3 models interacting through an active Model Context Protocol (MCP) governance layer to test norm diffusion amid exogenous liquidity shocks.

LLMs Multi-Agent Systems MCP

Aethelgard's Respite

A physical-to-digital bridge and persistent neural game engine. Integrates physical telemetry with a local Creation Engine environment via SKSE, Mantella, and a 30B parameter local model orchestrator for autonomous, context-aware NPC generation.

Ollama Python Game Engine APIs

Scalable Hydroponic Infrastructure

Engineering closed-loop controlled environment agriculture (CEA). Prototyping focuses on optimizing system fluid dynamics and integrating sensor telemetry for automated nutrient and environmental regulation.

Hardware Fluid Dynamics Telemetry