About This Event
Most teams have text columns full of answers they can't GROUP BY: agent traces, comments, job ads, call notes. Mehdi Ouazza walks through five prompt_jev() use cases, each answering a business question in one SQL query, about 20x faster than an LLM call.
What You'll Learn
- See five prompt_jev() use cases on real data, from AI agent logs to Hacker News social listening and job ads
- Answer a business question about a text column in a single SQL query
- Leave with the SQL and public shares you can query yourself
- Get a checklist for running your first Jev experiment
Who Should Attend
This event is ideal for:
Data AnalystsData EngineersAnalytics Engineers
