Connect Jev AI to Maia: Custom Connector and Shared Pipelines

Learn how to bring Jev AI decisioning into your data pipelines. In this walkthrough, a principal solution architect imports the TypeSafe API into a Maia custom connector, stores the API key in a secret manager, and gives Maia a short problem statement in Mission Control.

Maia plans and builds three shared pipelines for evaluating a single record, looping over a table, and unpacking answers, plus five example pipelines and a Jev AI skill. The demo then runs the support ticket triage example, shows the Jev request and response, and shares the pipelines across the team.

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.