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.