Gary D Murphy

The SoloEdge AIOS

Multi-agent infrastructure built on the principle of single responsibility per agent, formal handoff docs, and explicit escalation paths. Foreman coordinates. Riley speaks to customers. Argus watches ops. Onboarding spawns new agents. EM Review gates every code commit.

A decade plus on production lines at Tesla, Flex, Daikin/Goodman, Halliburton, and Pentagon Technologies (semiconductor cleanroom tooling) taught me what "production-grade" actually means. Not the demo screenshot, the 3am page when something breaks.

I apply that same discipline to AI: ship it, monitor it, page on it, fix it. Agents are the workforce. I'm the architect.

I authored the SoloEdge Doctrine, a multi-agent crew framework with three non-negotiable patterns: self-evaluation, correction loops, and stable spec testing. An agent that can't tell when it's broken is a liability. An agent that breaks the same way twice is malpractice. An agent that ships without spec testing is a demo, not production.

Core principle: AI Capital, including customer data, agent memory, and prompt history, must travel WITH the customer. Not locked into vendor silos.

Seven Anthropic certifications · 2026

Currently enrolled: UT Austin AI & Machine Learning with Python

Production tools

Infra: Self-operated hardened home lab with isolated networks, encrypted storage, and controlled access. Plus DigitalOcean production droplets and Cloudflare Tunnel.

Senior AI Engineer · AI Platform Engineer · Forward Deployed Engineer (AI / Agentic) · Agentic Delivery Engineer · AI Infrastructure Engineer · AI Solutions Architect · Applied AI Engineer roles at companies shipping real production AI.

Remote-first. Austin-based. Open to hybrid in Austin metro. What matters is the AI is shipped, not powerpointed.