A home for AI practitioners shipping to production
The AI Runtime is the operational layer where AI actually runs, and the community building it. This is how it started, what we believe, and where it is going.
Between the model and the product
The AI Runtime started with a simple frustration. Most AI writing was hype, vendor pitches, and speculation about the future, while the hard part, getting AI to run reliably in production, went undocumented. So it began as a free weekly newsletter for practitioners: specific, sourced, and anti-hype. The kind of issue you forward to your team.
It grew from there. Practitioners in Boston wanted to meet the people behind the work, so the newsletter became a monthly meetup in Cambridge: two practitioner talks a night, real production stories, no slideware. Then builders wanted to do the work, not just read about it, and the Field Lab followed, with production-shaped problems you can actually ship. The AI Runtime is now a community that reads, meets, and builds together.
It was founded by Kranthi Manchikanti, an AI Architect at Microsoft based in Boston, and it is built with the practitioners who show up.
- 2,000+ newsletter subscribers
- 200+ in-person attendees
Practitioner-first, anti-hype
We believe the most valuable AI skill is shipping it reliably, not talking about it. The operational layer, evals, agents, inference, reliability, and cost, is where AI systems actually earn their keep, and where the real lessons live.
Every piece passes one test: would a senior AI engineer at Anthropic, OpenAI, or DeepMind forward it to their team? If not, we do not publish it. Specific, sourced, and forward-looking, or it does not go out.
We cover where AI runs, not where it is hyped
The name is the filter. A runtime is the layer where software actually executes, and that is exactly where we focus: the production systems where AI meets real users, real data, and real failure modes.
So we deliberately skip what fills most feeds: vendor pitches, frontier-model release coverage, idea-stage products, and speculation about the future of AI. What is left is the part practitioners actually need, the operational reality of running AI in production.
A community of people who ship
The AI Runtime Boston meets monthly in Cambridge. Two practitioner talks a night, honest production stories, and the people who actually ship sitting in the same room. The newsletter reaches practitioners at the companies building real AI systems.
Read by AI practitioners at
- IBM
- Amazon
- Meta
- NVIDIA
- OpenAI
- MIT
- Harvard
Where it is going
The mission is a durable home for AI practitioners: a newsletter you trust, a meetup worth the commute, and a Field Lab where the community ships real work. The Field Lab is growing its library of production-shaped problems, the meetup is built to expand city by city, and everything stays free and practitioner-first.
LEARN. SHIP. RUN.
Be part of it
Read, meet, and build with practitioners shipping AI to production. Start with a free weekly issue, come to the next Boston meetup, or dig into the Field Lab.
See the next event → Explore the Field Lab →
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Production lessons from practitioners. Evals, agents, inference, reliability, cost.
Read by AI practitioners at IBM, Amazon, Meta, Google, Nvidia, OpenAI, MIT, Harvard, and more for production learnings.
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