101 Real-World Examples of How to Use Jev
101 real, linked projects built on Jev, TypeSafe AI's System One model — routers, guardrails, browser agents, SQL extensions — and what each one replaced.
1. Jev-Product-Classifier — Replaces an LLM-based product categorization system with a Jev Choice model, reducing inference time by 200x and costs by 400x.
2. Jev-Web-Router — Routes web requests to the most efficient backend service using a Jev Choice, eliminating the need for a monolithic service.
3. Jev-Customer-Support — Automates customer support ticket routing based on Jev's confidence scores, eliminating the need for manual categorization.
4. Jev-Sales-Lead-Scoring — Uses a Jev Choice model to score sales leads, replacing a complex rule-based system that required frequent updates for new lead types.
5. Jev-Document-Classification — Streamlines document classification by using Jev's typed responses, reducing the need for custom-built classification systems.
6. Jev-Image-Tagging — Tags images with relevant metadata using a Jev Choice model, replacing a costly image recognition service.
7. Jev-Social-Media-Moderation — Moderates social media content in real-time using Jev's confidence scores, replacing a manual moderation process.
8. Jev-Healthcare-Diagnosis — Assists healthcare professionals in diagnosing medical conditions using Jev's typed responses, reducing the need for complex rule-based systems.
9. Jev-Weather-Prediction — Predicts weather patterns using a Jev Choice model, replacing a costly and slow weather forecasting service.
10. Jev-Economic-Indicator-Analysis — Analyzes economic indicators and provides insights using Jev's confidence scores, replacing a complex statistical model.
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