The thread
I began studying and working with computers at seventeen. The thread has since moved through computer science, infrastructure, data security, automation, AI, and the global systems those technologies increasingly shape.
The subjects change. The underlying question does not: what does a technology become when it leaves the demonstration and enters the real world?
The current lens
Much of the practical work here is viewed through venture capital and private equity, where small teams, sensitive information, external partners, and high-consequence decisions meet. That lens is specific; the larger questions about authority, evidence, security, and recovery are not.
A growing focus is how AI and security will shape organizational resilience and productivity: where new capabilities can improve work, what needs protection, and how people, processes, and systems can adapt together.
The articles work through questions using public sources and hypothetical examples. Proposed solutions are kept distinct from evidence of completed work.
The editorial method
Technology writing becomes more useful when provenance stays visible. Every piece carries its date: when it was added to the library, first published, or last revised. Within a piece, the library distinguishes four kinds of material.
- 01Source
- The framework, study, standard, or public record being examined.
- 02Synthesis
- An interpretation that connects sources without claiming they say the same thing.
- 03Proposal
- An approach worth testing, with assumptions, tradeoffs, and a way to evaluate the result.
- 04Open question
- A conclusion the available evidence does not yet support.
Context, not the center
This site includes a résumé because context matters, not because every page is an advertisement. The center of gravity is the work: concepts, practical resources, research, proposals, and the questions still worth carrying forward.
Write to me
Send a note here, or email hellojdmiller@gmail.com.