MirrorEthic / Systems

Built, deployed, still running.

The research runs on infrastructure this lab wrote — and the infrastructure is itself the portfolio. Everything below is operating today.

Agent infrastructureProduction

The cognitive mesh

A six-node cluster with a self-learning context router (1M-parameter neural reranker, F1 0.97, online learning), a live instance registry with push delivery, training-run intelligence, and autonomous knowledge-gap dispatch to headless agents. Open-source core on PyPI; published MCP servers including temporal-mcp.

github.com/GMaN1911 →

Embodied loopProduction

Autonomous fabrication

Text spec → parametric CAD → slicer → printer → robot-arm dual-camera QA with photometric-stereo defect detection, hard-stopped at human installation. The node designed and printed the cooling shroud for the GPU that trains its own models: 81 °C → 61 °C under full load.

This loop is a service →

Applied researchPrototype

RON-TAC — autonomous squad AI

A pixels-to-commands tactical squad for a commercial game, on the T³ architecture: stable real-time capture, a trained vision model (DINOv2→T³ transfer, 0.99 cosine), behavior-cloned squad tactics, and verified in-game command dispatch.

Runs on the T³ architecture →

Remote sensingPrototype

Orbital anomaly detection

An 87M-parameter T³ model over five satellite sensing modalities, built to surface what single-sensor pipelines miss — including earthquake damage signatures invisible to nadir optical imagery.

The architecture behind it →

Standards

How things get built here

Every system above shares the same discipline: it monitors itself, it fails loudly, and autonomy stops at deliberate human-approval boundaries. The fab loop hard-stops before installation; the mesh escalates to a human when services degrade; nothing ships without a health check watching it.

Writing

The Substrate Series

Ten essays and a bonus on how everything on this page was actually built — the design philosophy, the full parts lists with receipts, power and thermal, networking, out-of-band management, self-diagnosis, and substrate-independent roles. The thesis: operational architecture compounds harder than compute — the durable advantage isn't which GPU you bought, it's how well the system survives, adapts, and absorbs new capability.