01 — Writing
Notes from the engineering team.
Long-form pieces on what we're building, the operators we serve, and what's actually working in production AI systems. We publish when there is something specific to say.
02 — Posts
Recent writing.
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2026-05-13
What is an AI engineering studio? A working definition
Defines the category that Velzyx operates in, why it is structurally different from an AI agency or a horizontal AI platform, and what an operator should expect from one.
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2026-05-13
AI engineering studio vs AI agency — a structural comparison
Why most AI agencies are marketing consultancies wrapped in AI vocabulary, and why an engineering studio is a different shape of business.
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2026-05-13
How to choose an AI partner — a buyer's guide for operators
The questions an operator should ask any AI vendor before signing, the red flags to watch for, and a way to evaluate whether a partner can actually ship.
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2026-05-13
AI engineering in Newport Beach — why Orange County
Why Southern California is a good place to engineer operational AI, what the Newport Beach engineering scene looks like in 2026, and how Velzyx fits into it.
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2026-05-13
Why AI demos die in production — and how to engineer systems that don't
An essay on the gap between an AI demo and an AI system. What the demo gets to skip, what production forces you to confront, and what the engineering looks like in between.
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2026-05-13
Building AI for operational businesses — a field guide
What separates an operation from a consumer product, and why operations need engineered AI configured around the workflow rather than horizontal AI tools.
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2026-05-13
Why we built Velzyx
A founder essay on the pattern we kept seeing across dental, real estate, and commercial real estate — and the bet on engineered AI per operator instead of horizontal platforms.
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2026-05-08
How multi-vertical AI engineering wins in 2026
Why specialized engineering per vertical beats horizontal platforms in 2026. Lessons from Toast, Procore, ServiceTitan, and what they teach us about durable AI moats.
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2026-05-01
Custom-engineered AI vs. off-the-shelf: how to decide
A practical framework for operators weighing custom-engineered systems against off-the-shelf tools. Decision framework, trade-offs, evaluation criteria, and a checklist.
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2026-04-24
The state of front office automation in 2026
An honest assessment of front office automation in 2026: what's working, what's not, and what comes next as voice AI, scheduling, and async messaging mature.
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2026-04-17
What we've learned engineering AI for service businesses
Five lessons from engineering Aria, AgentCentric, and AnalytixCRE: why integration depth beats model sophistication, and why the human handoff is the actual product.
03 — What we publish
The kind of writing we plan to publish.
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