Dinesh from AutoTester walks through seven questions to evaluate AI testing tools beyond vendor hype. The webinar clarifies confusing terms like agentic and self-healing, and covers two critical gaps: whether the system actually learns and who validates its output. A live demo shows requirement coverage, generated test code, healing records, and auditor scores with evidence.
Have you ever wondered how to grade your AI? If so, I have an awesome resource for you. We're running an awesome webinar on Who Grades the AI? 7 Questions to Ask Before You Trust AI Testing. So if you're evaluating AI testing tools, you probably run into this. Terms like agentic, autonomous, self-healing can describe different capabilities, yet they all look similar to a polished demo. That's the focus of our upcoming webinar. With Dinesh, who's the co-founder of Autotester. He's going to walk through 7 questions testers, QA leaders, and developers should ask, plus the evidence a credible answer should produce beyond a vendor simply saying yes. And he told me he's going to break down the difference between AI assistants, test generation, test platforms, and quality systems, and where each one stops. And he also covers 2 questions many evaluations miss: does the system actually learn, and who checks the quality of its work? And he's going to actually demonstrate AutoTester live, showing things like coverage generated from a requirements document, the resulting test code, a healing record, and auditor scores from 0 to 100 backed by evidence. Hope to see you there.
