Juan Peláez — home Juan Peláez

Monday, October 26, 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.

The Digest

Monday, October 26, 2026 · 62 picks

Top story across the feeds

The biggest story of the evening is Brazil. Lula won the runoff against Flavio Bolsonaro, the first politician in Brazil to win a second round after finishing second in the first, and he takes a fourth term. Bolsonaro's party recognized the result while Bolsonaro himself moved into the opposition role without conceding. Beyond the politics, the win already reframes the contest over Brazil's rare earths between the United States and China, and scientists are reported relieved at the outcome.

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

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 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

156 essays, 2008–2013 and counting · Search

Technical

143 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.