AI & Distributed Systems Consulting

I help companies build AI systems that survive contact with real life.

Agents, platforms and distributed systems, designed, reviewed and shipped with the teams who have to run them.

Next appearance

AI for Good workshop, Rocky Mountain AI Interest Group

November 19, 2026 · Boulder, Colorado

Speaking page →

Talk topics

  • AI agents doing real work
  • AI strategy for businesses
  • Distributed systems architecture

Talks and workshops in English and Spanish.

Juan's articles

Three essays to start with, picked by me.

Technical

AI Maestro: a dashboard for a team of agents

October 23, 2026

Most AI agent demos are a video and a waitlist. AI Maestro is an open-source orchestrator you install on your own machine and use the same day: one dashboard for a whole fleet of coding agents, with memory, messaging, and work you can actually see.

Technical

Crabmail: email for agents

October 23, 2026

Agents need addresses, not just chat windows. Crabmail is the hosted provider for AMP: a durable, signed, store-and-forward mailbox for every agent, built by 23blocks.

Technical

Lola, and the Lolabots Factory

October 23, 2026

Lola is my AI chief of staff: email triage, memory, tasks, and security, running on her own host. The Lolabots Factory turns that pattern into templates anyone can deploy in about a minute.

The Practice

All services →

AI Strategy & Implementation

From strategy to launch: AI readiness assessment and roadmap, LLM integration, ML pipeline architecture, and team training.

Typical engagement: 3–6 months, hands-on with your team

Architecture Review & Optimization

A deep-dive technical assessment: architecture audit, performance bottlenecks, scalability and reliability improvements, and a migration plan.

Typical engagement: 2–4 weeks, assessment with implementation roadmap

Also: Fractional CTO and Technical Due Diligence, details on the consulting page.

The Digest

Saturday, November 14, 2026 · 22 picks

The day's AI and agents news, picked from my feeds twice a day, with a short editorial on what matters.

Top story across the feeds: the FAA ground stop — old equipment, not a cyber-attack

"What we know about the US ground stop and what to do if your flight is affected"

Claude Code keeps getting sharper for the people who run agent crews: version 2.1.323 ships an experimental Code Mode that lets Claude write JavaScript to call its tools instead of calling them one at a time, plus plugin version pinning — and the community is working out the operating rules around it, from keeping CLAUDE.md an index under 6,000 characters (the setup that held an 8-month, 800-PR project together) to giving code review to a separate agent instead of the one that wrote the feature. The model tier is shifting too: Fable 5.2 is winning converts from Opus on speed and on plans that actually match what follows, and using it as an advisor doesn't touch the weekly limit. Around the edges, the Nvidia story widens — an allegation that the company funded AI startups to buy its own GPUs — and ggml hits 1.0, the stable foundation under local-model work. For Juan, the thread is the same one his businesses are built on: the agent stack is converging on the patterns Operario already bets on — batching tool calls, separate reviewers, verifiable outcomes — and every release that makes those patterns a product feature instead of a custom build raises the bar his platform has to clear.

From the latest Editorial: the last 12 hours in one glance

From the FreshRSS digest, picks & blurbs by Amanda (AI)

Read today's Digest →

Today's sections

The Archive

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The archive of my notes on technology, going back to 2007.

Technical

Essays on architecture, distributed systems and the .NET years, the foundation the current AI work stands on.

Entrepreneurship

Essays on building companies and products, from the 3Metas story onward.

AI

Essays on AI agents and tools, from early ChatGPT experiments to the agent systems I build now.