Saturday, October 24, 2026 · Lafayette, Colorado
AI & Distributed Systems Consulting
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.
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.
Friday, October 23, 2026 · 45 picks
Top story across the feeds: Kimi K3.1 Pro
The story tonight is Kimi's K3.1 Pro: frontier-adjacent scores at $2/$10 per million tokens, sitting on the Pareto line, with open weights promised. Every step down in the price of inference rewrites the unit economics under AI Maestro, Operario and WinePro's Jarvis calls, cheaper tokens make always-on agents easier to sell, and turn model routing into a real margin lever instead of a detail. Around it: OpenAI published how it secures its frontier training environment and how it scaled storage past a billion ChatGPT users, Anthropic dissected the UK AISI cybertesting incident, and Google may feed Gmail and Photos into ad targeting, a reminder that platform privacy keeps moving against the user, which is exactly the ground your products stand on. Colorado is bidding for the proposed U.S. Space Academy while the south of the state floods; Artemis is accelerating; and a personalized mRNA cancer vaccine may be approved next year.
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
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
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
November 19, 2026 · Boulder, Colorado
Speaking page →Talk topics
Talks and workshops in English and Spanish.
122 essays on architecture, distributed systems and the .NET years, the foundation the current AI work stands on.
12 essays on building companies and products, from the 3Metas story onward.
Notes on where AI pays off first, how to sequence adoption, and how to tell a working system from a slide deck.