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5 real-world use cases for MotherDuck's prompt_jev()
Join us Oct 8 to learn how to query agent traces, comments, and call notes with a single SQL query.
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YOU'RE INVITED Jev for Analytics: 5 Use Cases on Real Data Most teams have text columns full of answers they can't GROUP BY: agent traces, comments, job ads, call notes. In this session, Mehdi Ouazza walks through five real use cases built with MotherDuck's prompt_jev(), from AI agent logs to Hacker News social listening and job ads. Each one answers a business question in a single SQL query, and Jev runs about 20 times faster than a standard LLM call, at a fraction of the cost. You'll leave with the SQL, public shares you can query yourself, and a checklist for your first experiment. Thursday, Oct 8 · 9:00am PT SAVE YOUR SPOT You are receiving this email because you are subscribed to News & Updates emails from MotherDuck. You can manage your preferences or unsubscribe from all. © 2026 MotherDuck LLC. All Rights Reserved. 2811 Fairview Ave E., Seattle, WA 98104-2205