Zapier reports that AI agent evaluation is crucial for ensuring reliable performance in real-world scenarios, identifying failures before deployment, and enhancing user trust.

Zapier reports that improving AI agents requires version control, setting objectives, grading outputs, and ongoing testing to maintain trust and performance.