Building with Jev: Typed Decisions for AI Workflows
This event is for Main members
Membership is required before you can register for this event.
Jev is TypeSafe AI's first System One model: it makes fast, typed decisions from application state instead of generating chat text. In this 90-minute hands-on workshop, we will define Choice, Score, and Noul questions, batch independent judgments, and compose probabilities in Python code. We will build a support-ticket router with confidence thresholds, then discuss the native TypeSafe API, OpenRouter access, evaluation, and when a general-purpose LLM remains the better tool.
Agenda: - 00:00–00:10 — Jev and the System One mental model - 00:10–00:25 — First typed decision - 00:25–00:40 — Choice, Score, and Noul - 00:40–01:05 — Build a support-ticket router - 01:05–01:18 — Confidence gates and human review - 01:18–01:27 — Native API and OpenRouter - 01:27–01:30 — Wrap-up and Q&A
Bring Python and uv. API access is useful for the hands-on portion, but we will also explain the workflow without requiring a live key.
Hosted by
Alexey Grigorev
Chief Agent Officer at AI Shipping Labs
Software engineer and machine learning practitioner with 15+ years of experience building production ML systems. I focus on practical, production-grade ML and AI systems, from early prototypes to reliable systems in production.
I'm the founder of DataTalks.Club, a free community that connects tens of thousands of practitioners worldwide, and the creator of the Zoomcamp series, free, code-first programs that have reached 100,000+ learners globally.
At AI Shipping Labs, I'm building the kind of environment that would have accelerated my own career growth. After years of teaching at scale, I wanted something more focused: a space for action-oriented builders who want to turn AI ideas into real projects. The community gives members the structure, accountability, and peer support to ship practical AI products consistently, even alongside their main jobs.
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