In this episode, we explore how seemingly perfect-looking SQL generated by AI agents can be “lying” when essential logic is missing. The Thomson Reuters Labs team highlights the need for deeper evaluation beyond simple syntax checks, and shows how tools like TruLens and AgentBench help expose hidden errors and better align agent outputs with real business intent.

For more details, you can refer to their published tech blog, linked here for your reference: https://medium.com/tr-labs-ml-engineering-blog/is-your-ai-agent-lying-with-perfect-sql-3a6a7d69bccf