Why Py AI exists
It started with a walk through Manhattan. Samuel and Adam, mid-conversation, kept circling the same frustration: plenty of AI events existed, but almost none spoke to the people we kept meeting—Python developers trying to get AI systems to actually work in production.
The hard part was never getting a demo to run. It was everything after: reliability at scale, iteration without regression, the thousand small fires that ignite the moment real users show up.
We built Pydantic, Pydantic AI, Logfire, Prefect, and FastMCP. Millions of developers use these tools to ship. So when we say the hard part isn't the demo—it's everything after—we're not guessing. We hear it every day.
Py AI started because we wanted a room where those conversations could finally happen.
What we kept hearing
"We shipped something that looked great in a notebook, then spent six weeks making it not fall over."
The pattern was everywhere. Smart teams, solid models, and then:
- Evals that didn't catch what mattered
- Feedback loops that took days instead of minutes
- Debugging distributed systems problems, not model problems
- No clear patterns for safety, observability, or code that doesn't become legacy the moment you look away
What we're building
Py AI is a community for practitioners who ship, and who care about systems that keep working after the first release.
We curate sessions where you walk out with something to try tomorrow. That means clear stories, concrete tradeoffs, and details that hold up when you push back.
No hype. No merchants of complexity. Just builders comparing notes.
What we're trying to foster
- A room full of people who share what they tried, what broke, and what they'd do differently
- Short talks and honest demos, then real conversation
- Practitioners, not evangelists
- Ideas you can actually use
How we gather
Local gatherings: Short talks, live demos, and plenty of time to meet the person next to you.
Annual conference: Curated talks plus an open call for proposals, because the best insights often come from unexpected places.
Come find us
If this sounds like your kind of room, we'd love to meet you. Show up. Share what you're building. Introduce yourself to someone new.