Before you press play
What you’ll find in the video
- Jev structures output using three primitives: noul (binary probability), choice (categorical pick with probabilities and confidence), and score (probability-weighted position across ordered levels).
- Confidence measures probability distribution sharpness (peaked vs. flat) rather than the selected option's probability, enabling explicit code thresholds for autonomous actions versus human review.
- Multiple atomic evaluation questions can be fanned out in a single call over identical state in parallel, letting downstream code branch or compute composite normalized priorities.
Worth knowing
Auto-generated English captions reviewed with Gemini. High confidence and typed outputs do not guarantee correct real-world decisions; thresholds must be tuned per business risk, and score/choice descriptions must avoid overlapping text.