Jev for Analytics: 5 Use Cases on Real Data
Turn text into typed SQL columns with Jev. Compare decision models with LLMs, try prompt_jev() on public complaints, and explore five analytics use cases with animated diagrams and live Dives.
Conference talks and live presentations.
Turn text into typed SQL columns with Jev. Compare decision models with LLMs, try prompt_jev() on public complaints, and explore five analytics use cases with animated diagrams and live Dives.
Free tiers are going agent-first: one POST, no email, no credit card. What that breaks is your ability to say what happened — so we watch an agent provision a warehouse, ingest NOAA weather data, write and run a pipeline, build a chart, then replay every step. With copy-paste prompts to try along.
A pipeline that runs and a pipeline that is correct are two different things. Four tool-agnostic actions — foundations, eyes on real data via MCP, contracts over prompts, and packaging it as a skill — to turn a lucky one-shot prompt into a pipeline you can trust.
The honest road from a laptop to production: storage, compute, the multi-writer wall, and many readers — benchmarked, with the boxes you end up operating (or letting MotherDuck run).
What happened in AI in the last 6 months, how it rewires the data stack, and what to actually do on Monday. Live demos, no slideware.