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Production lessons from AI practitioners
One free issue a week. Specific, sourced, anti-hype, the kind of piece you'd forward to your team. Written by Kranthi Manchikanti and the practitioners who speak at The AI Runtime.
Free. New issue every week.
Evals, agents, inference, reliability, cost, the operational layer where AI systems actually run.
Read by AI practitioners at IBM, Amazon, Meta, Google, Nvidia, OpenAI, MIT, Harvard, and more for production learnings.
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What you'll get
Five things our subscribers care about
- Evals & Observability. How practitioners know AI works in production.
- Agents in Production. Patterns that survive contact with real users.
- Inference & Serving. What actually runs in production at scale.
- Reliability & Incidents. Postmortems, drift, recovery patterns.
- Cost & Performance. The economics of running AI.
Also
Come to a meetup
The community meets in person too. The AI Runtime Boston is monthly in Cambridge. Two practitioners per night, real production stories.