Zero Echelon is a veteran-led company building the systems that make AI agents reliable enough for production use.
Leadership
Richard isn't a consultant who read about AI infrastructure. He's a Process Team Lead at PBF Energy's Chalmette Refinery, running renewable diesel operations. He manages the Pretreater and Renewable Diesel units. He knows what "on-spec or shutdown" means because he lives it every shift.
Before the refinery, Richard served as a U.S. Army Captain with over 20 years of combined military and industrial operations experience. This background shapes everything Zero Echelon builds — systems designed for reliability, not demos.
In the last 6 days, working with AI agents through zeOS, Richard produced 882 commits across 6 production repositories. That's 147 commits per day. The tools work because they're battle-tested by their creator.
The Stack
Each component solves a specific problem in making AI agents production-ready.
The operating system for AI agents. GitOps as native memory. Session journals, boot protocols, capability registries. AI that remembers.
ProductionNatural language goals compiled into executable task contracts. Dependencies, interfaces, verification commands. The language between human intent and AI execution.
PyPI v1.3.05 AI agents executing in parallel. Claude, Codex, Gemini, DeepSeek, Grok. Same task, five perspectives. True parallelism.
ProductionAI directing AI. Session rotation, context injection, 5-9s reliability target. 158 tests passing. The coordination layer for autonomous work.
AlphaAdvisors
Technical advisor providing guidance on AI architecture, enterprise scaling, and product strategy.
Company
882 commits in 6 days. Production systems, not prototypes.
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