Validate AI Agent Answers with Jev and Data Hub
Check every AI agent answer against the source passage it came from. For each answer, Boomi Integration asks Jev, TypeSafe AI's decision model, whether the answer is supported by its source, and gets back a probability plus a reason. Answers below a reject threshold you set per environment go into a feedback document for the bot team, labeled with why they failed: contradicts the source, unsupported, incomplete, or off topic. Everything else goes to Boomi Data Hub, where an approval rule enforces the trust policy. Answers scoring 0.90 or higher become verified golden records immediately, and the rest wait for a data steward. Each question is a match key, so new answers update the existing record instead of creating duplicates. A publisher process turns every verified answer into one context JSON document your agent can load. The recipe ships with sample router support answers and stub steps, so you can test the full loop before connecting your own agent.
Solution Details
- Difficulty Level
- INTERMEDIATE
- Solution Type
- Recipe
- Author
- Boomi
- Published on
- Oct 20, 2026
- Last updated on
- Oct 20, 2026
Get Started
Get StartedKey Features
- Independent scoring: Jev checks each answer against its own source passage, so trust doesn't depend on the agent grading itself.
- Trust policy in Data Hub: An approval rule auto-approves strong answers and quarantines borderline ones for steward review.
- Feedback with reasons: Rejected answers return to your bot team with Jev's reason attached, and Jev failures always go to a steward.
Applications Required
- Boomi DataHub
- Jev