Wednesday, October 28, 2026 · Lafayette, Colorado
AI & Distributed Systems Consulting
Agents, platforms and distributed systems, designed, reviewed and shipped with the teams who have to run them.
Next appearance
November 19, 2026 · Boulder, Colorado
Speaking page →Talk topics
Talks and workshops in English and Spanish.
Three essays to start with, picked by me.
Technical
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
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
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.
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
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.
Wednesday, October 28, 2026 · 34 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: deadly high-speed train crash in Spain
Overnight the feeds kept circling one question: how do you keep an agent system improving after it ships. New papers propose skills that evolve through pull requests, benchmarks built to break frontier harnesses, and rubrics that co-evolve with the harness they judge. Another paper tackles the gap between open-ended work and fast decision models, which is the same gap a small typed judge is meant to close. In industry, OpenAI profiled Legora as an agentic operating system for legal work, and Artificial Analysis shipped a new version of its intelligence index. A practitioner report also stood out: 250 Claude Code agents rebuilt a C++ engine in two weeks into apps users can reshape while they run.
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 of my notes on technology, going back to 2007.
Essays on architecture, distributed systems and the .NET years, the foundation the current AI work stands on.
Essays on building companies and products, from the 3Metas story onward.
Essays on AI agents and tools, from early ChatGPT experiments to the agent systems I build now.