Juan Peláez — home Juan Peláez

Saturday, October 24, 2026 · Lafayette, Colorado

AI & Distributed Systems Consulting

I help companies build AI systems that survive contact with production.

Agents, platforms and distributed systems, designed, reviewed and shipped with the teams who have to run them. And twice a day, an honest read of what is actually moving, in The Digest.

From the Archive

Editor's picks

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 Digest

Saturday, October 24, 2026 · 45 picks

Top story across the feeds

Brazil votes on Sunday, and the last day of campaigning closed with Lula and Flávio Bolsonaro trading corruption and economy attacks in their final debate. The result will set the direction for the region's largest economy and for Washington's weight in South America, so it is worth watching even from Colorado.

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 Practice

All services →

AI Strategy & Implementation

From strategy to production deployment: 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.

Next appearance

AI for Good workshop, Rocky Mountain AI Interest Group

November 19, 2026 · Boulder, Colorado

Speaking page →

Talk topics

  • AI agents in production
  • AI strategy for businesses
  • Distributed systems architecture

Talks and workshops in English and Spanish.

The Archive

155 essays, 2008–2013 and counting · Search

Technical

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

Entrepreneurship

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

AI Strategy

Notes on where AI pays off first, how to sequence adoption, and how to tell a working system from a slide deck.