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

Wednesday, November 11, 2026 · 15 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 Fable 5.2 story kept moving overnight: more users woke to full usage resets and extra credits, but the reports are now about quality as well as cost — the model burns tokens thinking a problem through from every angle and feels off on the abbreviated, messy language its predecessor handled naturally. OpenAI's side of the same week is a retirement: Standard Voice disappears on December 11, and the threads now carry the explanation that it was just the normal text model reading out loud, which is why its replacement, GPT Live, feels like talking to a receptionist. Meanwhile the agent build-out is accelerating in both directions at once: a Google engineer pointed 48 agents at NASA lidar and found an unmapped Maya pyramid in 72 hours, OpenAI ran a Codex workshop at the AI Engineer Code Summit, Mercor raised $750 million at a $20 billion valuation on a $3 billion run rate, and two new studies measure exactly what Operario cares about — the cost-versus-success trade-offs of agents running enterprise SOPs, and where errors enter long-horizon agent runs. The trust question is sharpening too: open-source projects are now banning AI-generated contributions outright, and OpenAI's appointed "shepherds" verified an AI-generated physics proof — the model proposes, humans verify.

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.