Agent testing strategy from preparation through retest
Key Takeaway
Define measurable success first. Then test single sessions in Agentforce Builder, scale up to batch tests in Agentforce Testing Center, fix failures at their source, and retest whenever the agent or the business changes.
An agent testing strategy is a plan that runs from defining what success looks like, through testing, to ongoing retesting. Agents use generative AI, so testing them works differently from testing traditional applications. A plan keeps you from measuring the wrong things. You start with manual, single-session tests in Agentforce Builder and then scale up to batch tests in Agentforce Testing Center.
Why agent testing is probabilistic
Unlike traditional application testing, which is deterministic, agent testing is probabilistic. The same input can produce many different correct responses, some incorrect ones and occasionally hallucinations. So you test many variations of a request instead of expecting one exact answer.