Building with Jev: Typed Decisions for AI Workflows

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.