Tricentis Labs: Evaluating and Scoring AI Agents with Agent Score

Agents are easy to build and hard to measure. When your company runs hundreds or thousands of them, hand-written evals can’t keep up, and it’s unclear which agents are correct, efficient, and ready for users.

In this conversation, Ryan Yackel, SVP of Product Marketing, and Andrew Demers, Product Manager for Agent Score at Tricentis Labs, explain how to measure agent quality, score agents automatically, and trace issues back to behavior.

Key highlights:

• Why Tricentis Agent Score: Get a better understanding of why agents are easy to create but hard to measure, and why most companies aren’t evaluating them yet.
• Agent Profiles: Build a profile of what each agent does, what good looks like, and where it can fail.
• Single Score: Combine quality, correctness, and efficiency evals into one answer on whether the agent is ready to ship.

Learn more: https://bit.ly/3VNUl5V