AI Agent Testing Needs a Third Result: Unable to Verify

When testing an AI agent, Pass and Fail are not always enough. Imagine a test says an agent must never call an approval tool. If you cannot see which tools the agent actually called, you cannot honestly say the test passed. But you also cannot say it failed. The correct result is Unable to Verify. That distinction matters because AI agent evaluation increasingly needs to examine tool usage, execution paths, and real outcomes, not just whether the final answer looks correct. That is what we’re building with TestMu AI Agent Assurance: visibility into what passed, what failed, and what could not yet be proven. 👉 Explore TestMu AI Agent Assurance: https://www.testmuai.com/agent-assurance/?utm_source=youtube&utm_medium=organic&utm_term=KPcLP9Voowo&utm_campaign=unable_to_verify_short Not what your agent says. What it did. #AIAgentTesting #AgentEvaluation #AgentAssurance