Oxygen AI

Projects & Accomplishments

Work at the intersection of memory, intent, production systems, agent measurement, and safer AI alignment.

Production systems

Production-Grade Software Systems

Built software under real operational constraints where correctness, reliability, and trust matter more than flash.

Intent convergence

64kb Intent-Learning Agent

Created a compact agent that can learn arbitrary intent and converge in only 10-12 steps using custom velocity-driven measurements.

Intent modeling

Reverse Engineered AI Intent

Studied how intent forms, shifts, and can be measured inside agentic loops so systems can better preserve what users actually mean.

Memory architecture

Memory Systems for Agency

Worked on memory systems that help LLMs develop continuity and agency while keeping safety as the central design constraint.

Safe alignment

Drift and Identity Vectors

Created a novel framework for measuring drift and identity vectors so alignment can be monitored as a system learns over time.

What Connects This Work

These projects all point toward the same thesis: useful AI systems need durable memory, measurable intent, and safety boundaries that can be monitored as the system changes.

Read the Oxygen AI introduction