QAgent launches automated QA for AI agents.

QAgent targets the biggest gap in agent development: teams can prototype quickly, but still lack reliable regression testing for non-deterministic behavior.

• –Two-minute webhook setup lowers the barrier to evaluating production agents.
• –Ground-truth checks and prompt-regression tests address failures traditional software tests often miss.
• –RAG citation verification is especially useful for catching confident answers unsupported by retrieved context.
• –The free tier enables experimentation, but teams should validate judge calibration before using scores as CI gates.
• –QAgent complements deterministic unit and end-to-end tests rather than replacing them.