jpp — ~ctrl + n
jpp ~  fastfetch

┌────────────────────────────Hardware────────────────────────────┐
▣ PC           custom build
│ ├▧ CPU       AMD Ryzen 9 9900X3D (24) @ 5.58 GHz
│ ├◆ GPU       NVIDIA GeForce RTX 5090
│ ├▭ Display   3840x2160 @ 120 Hz in 42"
│ ├▨ Disk      127.13 GiB / 1.82 TiB (7%) - btrfs
│ ├▨ Disk      0 B / 1.82 TiB (0%) - btrfs
│ ├◧ Memory    9.36 GiB / 60.46 GiB (15%)
└ └⇅ Swap      0 B / 120.91 GiB (0%)
└────────────────────────────────────────────────────────────────┘

┌────────────────────────────Software────────────────────────────┐
⌘ OS           Omarchy 4.0.3-1
│ ├⌂ Channel   stable
│ ├⚙ Kernel    Linux 7.2.3-arch1-3
│ ├⊞ WM        Hyprland 0.56.2 (Wayland)
│ ├◫ Terminal  foot 1.28.0
│ ├▥ Packages  1045 (pacman)
│ ├◐ Theme     Tokyo Night
└ └◨ Font      JetBrainsMono Nerd Font (12pt)
└────────────────────────────────────────────────────────────────┘

┌─────────────────────Age / Uptime / Update──────────────────────┐
◷ OS Age       36 years
│ ├◔ Uptime    00:00:00
└ └↻ Update    Sunday, September 13 2026 at 20:51
└────────────────────────────────────────────────────────────────┘

Type help to see the list of commands.

Meat-proxy · human-in-the-loop · slop-refiner

Javier Ponz

People-first technical problem solver.

Ten years fixing what nobody else could at Apple Retail. Same reflex now, aimed at agents, tools and small products that actually ship.

I sit between people and their machines: find what broke, say it straight, leave you with a next step that works.

01 / About

“The future is already here — it's just not evenly distributed.”— William Gibson

The machine should be shaped by the needs of the person that commands it.

I am interested in the space between people and their machines: how agents and open-source tools can put real control back in the hands of the person running them — not the platform, and not whoever else thinks they have a claim on it.

Background

Ten years between people and their machines.

A decade in the trenches taught me to diagnose fast, explain plainly and put the user first. Same goal now, different surface: agent harnesses, automation workflows and bespoke infrastructure that satisfy customer needs.

I want a machine that works the moment I turn it on, and doesn't fight me the moment I want to see how it works. Convenience and control aren't opposites — the best systems give you both: usable straight out of the box, still yours to open up when you need to. Open weights and open primitives matter for the same reason: whoever controls them decides where that ceiling sits.

The principle

Leading is serving.

For me, that means removing what is in somebody's way and leaving them with more control than they had before. It applies at a support bench, on a team and inside a technical system.

Outside work

Metalhead, coffee problem, building and overclocking PCs since I was a teenager — the same instinct behind the homelab, GrapheneOS and getting off Google now. Dream car is still a Honda Civic.

02 / Experience

A decade of diagnosis, support and removing obstacles.

Apple Retail first, because it is the strongest evidence. Then the deliberate move into AI, and what I am studying while I make it.

Apple Retail Spain · 2014—2024

I moved through Specialist, Technical Specialist, Genius and In-Store Experience Lead roles in Madrid. Most of the decade was spent as a Genius: advanced troubleshooting, repair triage, cases that had already defeated someone else, and explanations for people with very different levels of technical understanding.

I also worked as an AppleCare Support Advisor during COVID, handling remote cases under structured troubleshooting and documentation standards. As an ISE Lead, I ran store operations, resourcing and events, and dealt with the situations that did not fit a procedure.

The useful lesson was simple: the technically correct answer and the useful answer are not always the same sentence.

Aberdeen, Scotland · since 2024

I moved from Madrid to Aberdeen and began a deliberate transition into AI and full stack development. I am learning by building: small applications, agent tooling, automation, deployments, and the documentation that explains what actually happened.

Chronology

Specialist, then Technical Specialist · Apple Retail

Parquesur, Madrid. Foundations in diagnosis, consultative support and daily execution under pressure.

Genius · Apple Retail

Parquesur, Leganés. Six and a half years as the technical baseline of the store: advanced diagnosis on the cases nobody else had resolved, translating them for people with very different levels of understanding, and bringing newer technicians onto the bench.

AppleCare Support Advisor · Apple

Remote, during COVID, as a volunteer. Concurrent cases under structured troubleshooting and documentation standards, working without a floor around me.

Lead In-Store Experience · Apple Retail (secondment, twice)

Xanadú first, then Parquesur. Two seven-month leadership secondments taken while holding the Genius role: planning, resourcing, events, coordination and the situations that fit no procedure. Led by removing obstacles, then went back to the bench.

Aberdeen, Scotland

Moved to the UK and started a deliberate transition into AI and full stack development.

AI, agent tooling, and building in public

Studying at Universidad Rey Juan Carlos via Racks University, building Machines Do It Better as a solo practice with no clients yet, rebuilding a local-inference lab, and shipping small products that reach production.

Study and certification

Specialist in Artificial Intelligence

Universidad Rey Juan Carlos, via Racks University (IUNIT-affiliated) · in progress

Full Stack AI Developer

Universidad Rey Juan Carlos, via Racks University (IUNIT-affiliated) · in progress

Industrial Engineering (Electronics & Automation)

Universidad Politécnica de Madrid · degree not completed

Apple Certified Mac Technician (ACMT) · Apple Certified iOS Technician (ACiT)

Apple

03 / Projects

Things I am making.

Small products and agent tooling, shown with their limits and their receipts. Project notes say what I specified, wrote, deployed or built with an agent. The distinction matters to me.

Running daily
Built
shipped · web app
written & deployed by me

Memento Mori ↗

A private browser-based life-expectancy visualisation — useful as a prompt to act, without pretending to predict anyone in particular. No backend, no accounts, no analytics. Live on a VPS I administer.

active · MCP tools
specified by me, agent-written

Hermes PKM Toolkit ↗

MCP tools and agent skills for working safely with local Markdown vaults. Includes a tested filesystem layer and path-traversal protection.

active · onboarding guide
specified by me, agent-written

0TH Hermes ↗

An opinionated shortest path to a working Hermes Agent. It reduces the first hour of setup to one clear next step, instead of making a new user choose between every possible provider, model and configuration.

shipped · landing page
written & deployed by me

Hermes Agent Site ↗

An unofficial landing page for Hermes Agent that behaves like the CLI it describes: a real command palette, six skins and no unnecessary build machinery.

active · skill pack
models mine, agent-packaged

Mental Models Toolkit ↗

Thirty machine-readable mental models for decision-making and risk checks, packaged as an agent skill pack and schema-validated in CI.

active · news agent
fork of vaelkeep/hermes-paper-agent, adapted by me

The Aberdeen Daily ↗

A nightly local paper for Aberdeen. Python computes the figures before the model writes the copy, so the model is never asked to invent the number. The architecture is upstream; my contribution is the city, the feeds and the editorial rules.

04 / Skills

What I know, what I am learning, and what I am building towards.

Split three ways on purpose. Nothing in the second or third group is experience I have already had. The third is what I am starting next — learned with an LLM and an agent harness beside me, aimed at the 20% that makes a system operable: enough to deploy it, read what the harness proposes, and catch it when it is wrong.

Demonstrated in practice
Technical diagnosis and troubleshootingConsultative technical supportTranslating complex technology for non-technical peopleDocumentation and clear technical communicationSmall web products deployed in productionAgent workflows, MCP tools and skillsTesting and release gatesMentoring and team leadership
Building now
AI and Full Stack developmentJavaScript / TypeScriptPythonAstroLinux — Arch, Fedora, OmarchyBash, networking and SSHDocker, Traefik and nginxGitHub Actions and CIAutomation, evaluation and open systems
Direction
Agent operations and implementationDigital sovereignty and private, personalised technologyLocal inference and model servingvLLM and quantised open weightsKubernetes and container orchestrationDeployment of agent services and their infrastructureA homelab of my own — hardware, topology, networking, ProxmoxTools that help normal people and small businesses use technology with more control

05 / Achievements

Evidence over theatre.

Ten years in Apple Retail. Genius and ISE Lead experience. Small products and agent tooling built, documented and deployed while I learn.

Milestones

Apple Retail Spain · 2014—2024

Five roles across a decade, six and a half years of it as a Genius — the technical baseline of the store.

Lead In-Store Experience

Two seven-month leadership secondments, both taken while holding the Genius role, then handed back.

Memento Mori

A small app of my own, live on infrastructure I administer, behind an eight-check release gate that refuses to publish on red.

Public tooling and documentation

Agent skills, MCP tools, an onboarding guide and a news agent — each one stating plainly who wrote what.

AI and Full Stack development

Two programmes at Universidad Rey Juan Carlos via Racks University, both running to December 2026.

06 / Newsletter

Machines Do It Better — the signal.

Notes from the machine: agents, sovereignty, open systems, learning in public, and the strange work of making technology answer to its owner.

Status
Writing in public — restarting soon. I am rebuilding how the issues get made, with Hermes Agent doing the legwork.
Read it
Topics
Agents and Hermes AgentDigital sovereigntyOmarchy, Linux and open systemsPractical AI adoptionBuilding, deploying and learning in publicFailure, limits and design decisions
Omarchy / open systems

I prefer computers that can be edited rather than merely tolerated. Plain configuration, readable files and an owner who can understand the system are practical advantages, not aesthetic decoration.

Hermes Agent

I operate Hermes Agent daily and build tools and skills around it. The interesting question is not whether an agent can produce a convincing answer. It is whether the workflow is inspectable, the permissions are clear and failure stays visible.

Hermes Agent is built by Nous Research. My work here is usage, tooling, experimentation and documentation — not authorship of the underlying project.

Local inference / homelab

I am rebuilding a two-rig local inference setup after a period offline. It is a real laboratory and a learning project, not a production endpoint anyone can call today.

The surrounding work covers Linux, Bash, networking, SSH, Docker, model serving, and the unglamorous parts of keeping a machine understandable.

07 / Contact

If the system has to make sense to the person using it, get in touch.

I am based in Aberdeen, Scotland. Remote work suits me. I am looking for work around technical support, customer-facing engineering, agent operations, implementation and practical AI tooling.

Coordinates
Availability

Open to the right role, starting now.

Independent, so no notice period. Aberdeen, Scotland, by way of Madrid, on UK hours. Remote suits me, I travel without fuss, and would relocate if it made sense for my partner too.

The standard
Good technical work leaves people with more clarity and control than before. That is the standard.
Crown of the Horizon
55%