Intelligence. Reimagined.

We don’t build chatbots. We build systems that negotiate, reflect, and adapt. Shadow Dynamic Systems is not just R&D—it’s a call to reimagine intelligence itself.

Current Research & Focus Areas

Agentic Orchestration Platform

A fully modular, platform-agnostic system for coordinating multi-agent LLM workflows, featuring a semantic memory mesh and a reasoning framework rooted in structured doubt.

🧠

Advanced Memory Systems

Hybrid memory mesh combining vector, symbolic, and episodic storage, inspired by human cognition to support long-term task tracking and reusable reasoning.

🛡️

AI Governance & HITL API

A cryptographically signed, multi-signature Human-in-the-Loop API for high-stakes decisions, emphasizing verifiability, traceability, and human authority.

🤔

Deliberative Reasoning Frameworks

Development of "The Assembly," a system where AI agents with conflicting roles argue and refine beliefs via dialectical methods, based on the “Pact of Doubt.”

🤖

CARETAKER Host & Multimedia Interfaces

An emotionally reactive AI host for user-facing interactions, implemented as a minimalist glyph/light-based avatar for interactive experiences.

⚙️

Model Efficiency & Deployment

Sparse LLM experimentation, dynamic API routing, and price/latency-aware model selection, with local-first systems using vLLM, OpenWebUI, and Docker.

Our Research & Development

Our Philosophy

Shadow Dynamic Systems is an AI research and development lab founded by Jason, a senior software engineer with 12+ years of experience in legal tech and a background in law (JD). We design cognitive architectures, orchestration frameworks, and agentic systems that challenge the limitations of current AI tooling. Our work blends philosophy, systems design, and hands-on engineering to push toward truly adaptive, cooperative, and intelligent systems.

We are guided by the “Pact of Doubt” – a philosophical stance that treats uncertainty as a tool, not a flaw. We don’t build "chatbots." We build systems that negotiate, reflect, and adapt.

From The Lab