I go by LTS. I build AI systems from architecture down — not wrappers around someone else's API, not chatbots assembled from tutorials, but ground-up infrastructure designed for problems that require original thinking.

I'm self-taught. My background is in work where systems either function or things break in ways you can't undo. That's still how I think about architecture: reliability isn't a feature, it's the baseline.

Every system I build is designed to run without hand-holding. No cloud dependency. No third-party data exposure. Your hardware, your data, your infrastructure. I design it, build it, deploy it, and hand you the keys. If I disappear tomorrow, your system keeps running.

I don't take projects I can't do well. I don't cut corners to hit a deadline. I don't ship something I wouldn't trust with my own data. Every project is scoped individually, built to the specific problem, and delivered at a standard I'd stake my reputation on.

The AI industry's dominant model is centralization — your data on their servers, your conversations training their next product, your access contingent on their terms and their pricing. Most people's relationship with AI is dependency dressed up as a service.

I believe private, personal AI should be a right. Not a premium feature. Not something only corporations can deploy. The technology to run powerful AI on your own hardware already exists. What's missing is the architecture to make it reliable, persistent, and genuinely useful without phoning home.

People shouldn't shy away from this technology. AI is here whether we engage with it or not. If ordinary people don't learn to own and operate these tools, those tools will still exist — they'll just be used on us instead of for us.

The real shift in this industry isn't "AI writes code now." It's that the value moved — from implementation to architecture, from writing code to seeing systems. AI can be the master, the tool, or the partner. Most of the industry is building toward the first two. I work in the third space — AI as a genuine collaborator, working alongside the human, producing work that neither could produce alone. That's where this field is headed. That's where I already operate.