PUBLIC SYSTEMS LAB · NEW JERSEY / REMOTE

Complex systems become useful when you can see how they work.

I’m Chris Moore. I work across software, physical infrastructure, AI, and human operations—turning messy ideas into legible, testable systems.

Inspect the workTalk through an idea
  • U.S. Navy veteran
  • NNPTC-trained Electrician’s Mate
  • Engineer + student
CTM/26SYSTEM MAP
ONE OPERATORMANY SYSTEMS
Procedure → evidenceNuclear training expressed as method
Local-firstPrivacy and operator control by design
Human-directed AIModels assist; responsibility stays human
3 featured systemsSelected for inspectable substance
Public node online

Current system state

Building
Road Kernel + a local-first personal operating layer
Exploring
Agent boundaries, graph memory, and inspectable neural systems
Availability
Open to selected engineering and systems collaboration

OPERATING METHOD / 01

Training becomes method. Method becomes evidence.

Navy nuclear training shaped how I think about procedure, fault isolation, and verification. The portfolio does not ask you to take that on faith—the work exposes the reasoning and its limits.

  1. 01Observe

    Define the environment, operator, and actual objective.

  2. 02Constrain

    Name boundaries, authority, failure modes, and evidence.

  3. 03Model

    Draw components and interfaces before hiding them in code.

  4. 04Build

    Create the smallest slice capable of proving the idea.

  5. 05Verify

    Test behavior and state what remains unverified.

FEATURED SYSTEMS / 02

Not a project pile. Inspectable systems.

Each featured build states what it is, what supports the claim, and what remains unfinished. Activity is not treated as proof of progress.

01 · Field systemsActive prototype

Road Kernel

A privacy-first iPadOS cockpit for observed road infrastructure, timing samples, and signed field-data exports.

  • SwiftUI
  • MapKit
  • SwiftData
  • CryptoKit
Inspect evidence
  • Local-first architecture
  • Tested export and signing foundations
  • Device-validation gap stated explicitly
Open Road-Kernal
02 · AI infrastructureResearch prototype

Social Memory Vault

An explainable memory layer joining vector similarity with typed, weighted graph diffusion.

  • Python
  • GraphRAG
  • Vector retrieval
  • Pytest
Inspect evidence
  • Pluggable dependency-free core
  • Exact diffusion-math validation
  • Edge-level retrieval explanations
Open Social-Memory-Vault
03 · Educational simulationMVP

CyberSim

A bounded cyber-defense simulator for learning propagation, patching, segmentation, and quarantine.

  • JavaScript
  • Simulation
  • Zero dependencies
Inspect evidence
  • Entire environment uses in-memory objects
  • No real network or filesystem operations
  • Safety boundary documented in the design
Open simComp

LAB BENCH / 03

Concepts you can touch.

The lab turns ideas in computer science into bounded experiments. The first tool is intentionally simple enough to inspect rather than merely admire.

LIVE MINI-TOOL · DETERMINISTIC

Pulse a tiny signal field.

Move the activation threshold, then send the same five signals through the field. This is a visual model—not a trained neural network—so every result stays inspectable.

INPUT 0.72Ready for a pulse.
A deterministic three-layer network with five scored output nodes 0.720.320.480.610.740.89
L-01

Signal Field

Change a threshold and pulse a deterministic network to inspect which nodes activate.

Live mini-tool
L-02

Memory Diffusion

Trace why a graph-vector memory was retrieved and which edges influenced the result.

Prototype queue
L-03

Agent Boundary

See how permissions and policy change the actions available to an autonomous process.

Designing

CTM/26 LAB GUIDE · PUBLIC DATA + WORKERS AI

Don’t just browse the site. Question it.

The Lab Guide can explain the public projects, compare systems, or help turn a loose idea into a testable first slice. It is an automated guide—not Chris—and it only knows the public context supplied by this site.

Public context onlyNo saved transcriptBuilt as an experiment

Common portfolio questions are answered from this site’s curated public data. Other messages are sent to Cloudflare Workers AI. This site does not save the conversation; it stays in this browser tab. Don’t enter passwords, account numbers, medical details, or other sensitive information. AI responses can be inaccurate.

Lab Guide⌘K to focus
Lab Guide

I’m online. Ask for a tour of the work, a comparison between projects, or help decomposing a system idea.

SITE NODE / NEXT

A portfolio is only the first layer.

This site is becoming a public operating surface: project status, field notes, experiments, and a searchable knowledge layer—not a static résumé.

  1. 01 Verified project status registry
  2. 02 Searchable field notes + build logs
  3. 03 Expandable experiment collection
  4. 04 Public discussion layer with moderation

WORK TOGETHER

Your technology can operate like one system.

Systems, AI, infrastructure, and the human layer.

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