About

I'm Jeffrey Taylor, founder of Auxelion — an applied-AI consultancy. I build AI that earns its keep: generative and agentic systems deployed end-to-end, measured against the number they were meant to move. Ten years of full-stack engineering across energy, finance, and enterprise sit underneath the work.

My work covers the full deployment surface: model selection and evaluation, agent and tool orchestration, retrieval and data pipelines, the API and interface users actually touch, and the observability that keeps it honest in production. One operator, end-to-end — same hands from architecture to deploy.

The discipline that sets the work apart is restraint. The AI work that compounds is scoped tightly, instrumented from day one, and shipped at the smallest size that moves the number — then grown from there. I write that into every engagement.

The stack today: Next.js, Python, Postgres, vector stores, LangGraph and similar agent frameworks, frontier and open-weight models, the surrounding eval and ops. The stack tomorrow: whatever the result requires. I've replatformed enough times to be loyal to outcomes, not tools.

Through Auxelion I also ship a small line of in-house AI products — currently Ferreter and Launchr — used to pressure-test the same patterns I bring to client engagements.

Outside the work I play clarinet in wind ensembles and orchestras — the same loop as engineering: precise execution, real-time correction, accountability to the people in the room.

If you have an AI initiative that needs to leave the prototype phase and start producing — get in touch.