Claire Vo · 2 min read · Gen AI Tools

Jev for beginners: how to use it and what to build

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This episode explores Jev, TypeSafe AI's new decision model that returns type-safe structured values (choices, scores, probabilities) instead of generated text at extremely low cost—4 cents per million input tokens with no output charge. Host Claire Vo shares five real-world applications she built using Jev, from PR categorization to a YouTube audience dashboard, demonstrating its practical utility and unique pricing model. The episode covers both technical implementation details and the strategic implications of ultra-cheap classification at scale.

Key Takeaways

Excerpt

Jev is TypeSafe AI’s new decision model. It returns type-safe structured values (a choice, a score, a probability) instead of generated text, at 4 cents per million input tokens with no output charge. This week I ran it on five real projects: PR categorization, a meta-analysis of my own Claude and Codex sessions, Gmail triage, the ChatPRD product insights graph, and a live audience dashboard built from 4,500 YouTube comments. Listen or watch on YouTube , Spotify , or Apple Podcasts What you’ll learn: What makes Jev fundamentally different from every other model I’ve used How I analyzed 1,700 PRs…

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