Production lessons from AI practitioners
The AI Runtime is a community of AI practitioners. Read the weekly newsletter, come to the Boston meetups, and become part of the Field Lab. It starts with a free weekly issue of production lessons, the kind you'd forward to your team.
Read by AI practitioners at IBM, Amazon, Meta, Google, Nvidia, OpenAI, MIT, Harvard, and more for production learnings.
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The weekly newsletter
Production lessons on Vertical AI Agents, Model Reliability Engineering, and lessons from the trenches of shipping AI. Free, every week.
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The Boston meetup
A monthly meetup in Cambridge. Two practitioner talks a night, real production stories, and the people who ship.
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The Field Lab
A library of production-shaped AI problems and a build pilot, so practitioners work on real problems instead of demos.
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Fresh from the newsletter
- Jun 24, 2026 What Is Loop Engineering? The Control System Behind Reliable AI Agents The visible half of loop engineering is orchestration. The decisive half is the control system that keeps the loop bounded.
- Jun 22, 2026 Architecting the Auto-Updating Enterprise AI Data Loop Tackling the AI Information Silos problem
- Jun 20, 2026 AI Made Individuals Faster. Why Are Teams Still Slow? The Next Bottleneck in AI Systems Is Context Transfer
- Jun 18, 2026 State Machines for AI Agents: A field guide from Forward-Deployed Engineering Agents reason. State machines remember.
The AI Runtime Boston
A monthly meetup in Cambridge for practitioners shipping AI to production. Two practitioner talks a night, real production stories.
From the last meetup
A full room in Cambridge for AI as a Teammate. Two production talks, real questions, people who ship. The next one is coming.
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Build on real problems, not demos
The Field Lab runs builders against real reliability problems in AI systems, scored against a public bar. Build the fix at a workshop and keep the proof as a Report you own.
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The AI Runtime Field Guide
A guided reading path through The AI Runtime for AI practitioners. The essential reads on AI engineering, Model Reliability Engineering, and vertical agents, in the order that builds real production intuition.
- Essay
The Self-Improving AI Myth
Self-improving agents are the headline of the moment. This essay separates what actually compounds when you ship AI to production from what only sounds like it does, and where the real reliability gains come from.
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Read by AI practitioners at IBM, Amazon, Meta, Google, Nvidia, OpenAI, MIT, Harvard, and more for production learnings.
Free. No spam. Unsubscribe in one click. See past issues →