Jev AI in Maia Pipelines: Choice, Score and Noul Evaluations

Jev AI makes fast, structured decisions with far lower token consumption than a traditional LLM. This demo shows how Maia builds and updates pipelines around the three Jev question types: Choice, Score and Noul.

Walk through support ticket triage, content quality scoring, binary compliance checks, product review analysis and customer churn, each running through the same shared pipelines. Watch Maia update a live pipeline to add a new docs department, then re-run it and sample the results from Snowflake.

This video is part of the Building with Maia and Jev series. Read the full write-ups:

• Building a TypeSafe Jev Connector and Shared Pipelines in Maia
• Jev Use Cases: Five Decisions You Shouldn't Be Paying a Frontier Model to Make
• The Prompt Was Three Sentences. The Build Was a Governed Claims Data Product.