I have been cutting code and design since I was sixteen. Two decades later the discipline hasn't changed: no framework where one line will do, no ornament that isn't structural, nothing shipped that I wouldn't sign.
I work the way a jeweller works — slowly, on one piece at a time, until the thing is exact. Futurist nerve, Benedictine patience. Ora et Labora: pray and work, then work some more.
What you get is not a template with your name on it. It is a piece made to your measure, finished to the last facet, quiet enough that only the people who matter will notice how much went into it.
You don't buy hours. You buy infrastructure that holds under load, data that stays correct, and systems that keep running when you stop thinking about them — the screen is the last five percent of the work.
Production LLM pipelines wired into your actual data and APIs — routing, retrieval, classification, decisioning — with retries, logging, and failure modes handled like any other service. Not a chatbot bolted onto a website.
Fast, correct front ends wired to APIs and data models built to hold — not a static site with a form. What people touch is the surface of a system engineered underneath it.
Backend services, schedulers, and integrations between the tools you already use — built to fail loudly, recover quietly, and keep producing without a human in the loop.
Off-the-shelf software fits nobody exactly — so we build the proprietary layer: your own data pipelines, agentic workflows, and internal APIs, owned outright instead of rented from a vendor. This is the core of the practice — not a website with extra steps, a system only you hold the keys to.
A vetting system reads, weighs, and scores every opportunity it's shown — and most operators pay retail to do that, on someone else's hardware, at someone else's margin. Lower the cost per evaluation and the same budget covers more opportunities: a wider net, a harder filter, a sharper signal out the other end. This is the same discipline as the rest of the practice, applied one layer deeper.
Instruction compression, context shaped to be read in fewer tokens, live routing across models most operators never track, free-tier capacity mapped and used, and inference run on owned hardware where it makes sense. Named here; the specifics stay mine — that's the edge you'd be retaining.
Self-hosted inference means the marginal cost of one more evaluation trends toward electricity, not a per-token bill that grows with your ambition. Scale stops being a tax.
The same person who engineers the inference builds what runs on top of it. No handoff, no committee, no translation loss between the two.
Nothing rented, nothing borrowed, nothing another company's policy can quietly change underneath you. Your intelligence lives on hardware only you can reach. A separate, deeper practice for principals who need it — ask, if that's the concern.
Give me one real slice of your vetting workflow. I'll run it two ways — your current cost, and mine — on your own numbers, and you decide from there.
Luxury event production for Marbella & Madrid. Full identity, bilingual site, and a generative business-card engine.
A 360° music agency and label connecting Spain to Latin America. Digital home for 13+ years of catalogue and talent.
Bespoke spas, pools & wellness architecture — Marbella & worldwide. Brand and digital atelier for the art of water.
This atelier itself — identity, site, and the generative gem engine behind it. The bench where the other pieces are cut.