HOVER PREVIEW · CLICK TRAVEL · T TOUR · ← → BROWSE · ENTER READ
The mind is a fireto be ignited.
I’m Zachary — a builder, writer, and teacher.
Every star above is one of my 182 essays; my entire body of work burning in semantic space. Hover to preview, click to read. Catch an ember as it rises.The fire above draws from my 182 essays. Explore the full constellation on a larger screen, or browse every essay below.

I do this work because I love it — and everything I learn, I give away.
Hi, I'm Zachary.
I work on the Applied AI team at WorkOS, shipping internal and customer-facing systems, automations, and apps that cut toil — and bringing the rest of the org along with workshops on AI fundamentals, training, office hours, and support.
I'm also an independent AI researcher working on local inference, inference engineering, and cost optimization. Through my consultancy, Mind on Fire, I do custom workshops, software and systems development, and bespoke training — on my own platform and as a Hone coach. For the last two years I've taught engineers everything from inference to agentic development, loops, scheduling, and skills at scale at the AI Engineer conferences in London, New York, and San Francisco.
- Currently
- Applied AI · WorkOS
- Consultancy
- Mind on Fire
- Researching
- Local inference, inference engineering, cost optimization
Research
All research →Controlled experiments in local inference economics, eval methodology, and serving architecture — every claim backed by runs you can inspect.

The Price Floor
Break-even analysis: M5 Max memory-bandwidth ceilings, the engine tax (llama.cpp vs ds4 = 5×), and the ~$34K Blackwell build-or-buy.

The Eval Harness
Coding agent benchmark — local vs cloud vs frontier, hidden-test design, Wilson interval statistics.
The Blueprint Series
All 17 →17 technical drawings of the AI stack — SVG schematics, equations, citations, interactive demos.
Taught from the bench, not the slide deck.
The workshop material comes straight from the research above — real cost curves, evals your team can rerun. We embed inside your pods and leave you with working workflows and named champions. Built with Anthropic; 800 registrations for the last public run.
Booking the next collaboration weeks.
§ 05Publications
Full list →Open source
GitHub →Career
14+ Years Engineering ExperienceRegularly advising hedge funds and PE firms on AI infrastructure via AlphaSights, Guidepoint, Tegus, GLG, Coleman.













