How do you ensure software quality when the system you're testing doesn't give the same output twice?

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That's the core challenge facing every QA team building or testing AI-powered applications today and it's breaking all the rules we've relied on for decades.

In this episode of the TestGuild Automation Podcast, I sit down with Adam Sandman, co-founder of Inflectra, to get into what non-deterministic AI testing actually means in practice, why traditional pass/fail testing no longer cuts it, and what quality professionals need to do differently right now.

We cover:

Why AI-generated code is raising the stakes for QA teams while budgets stay flat
The fundamental difference between deterministic and non-deterministic systems — and why it changes everything about how you test
How to set acceptable risk thresholds for AI systems (hint: it depends on whether you're building an e-commerce chatbot or an air traffic control system)
Why testers who embrace AI as a tool — not a threat — will be the ones leading their organizations forward
How a live demo failure at a conference inspired Inflectra's new non-deterministic testing tool, SureWire

If you're a tester, QA manager, or automation engineer trying to figure out how to keep up with AI-driven development without losing your mind — or your job — this one's for you.

AI Testing: How to Ensure Quality in Non-Deterministic Systems with Adam Sandman