AI Testing Webinar: Navigating the Long Haul

You’ve done the hard work. You’ve launched your working kayak.

Your initial AI testing framework is afloat. It’s catching the obvious bugs and it works well enough for the calm waters of the foreseeable horizon. You’re seeing results.

But you can feel the weather turning. Out beyond the shore lies the deep, dark ocean of production—an ocean teeming with AI pitfalls. Suddenly, your kayak feels very small. You’re being assaulted by waves of live bug reports and the relentless need to add major new features. And just beneath the surface, you can see the fins of circling AI sharks—the security threats and data integrity risks you’ve read about in the research.

Let’s be honest. If we stay in the kayak, we’re dead in the water.

This is not an introduction. This is the moment we upgrade our vessel. This is a deep dive for practitioners who are ready to turn their working kayak into a sturdy, resilient ship—a framework we can trust to navigate the long haul. I’ll put on our captain’s thinking caps, automate the critical systems, and learn the rhythms of rowing as we go.

In this session, you will learn how to:

• Navigate the First Storm (The AI Regression Test): A bug is found in production. I’ll show you the complete, Test-first-style workflow for adding the bug to your Golden Dataset, writing a failing automated test to prove it exists, and then using that test to validate your prompt fix.
• Reinforce the Hull for a Rogue Wave (Automating New Features): A major new feature requirement hits. I’ll walk through how to expand your quality rubric and then automate it with an “AI Judge,” reinforcing your framework with a scalable quality gate that can handle the increased pressure.
• Build a Sonar for the Fog (Detecting Quality Drift): How do you spot the silent regressions that sink features over time? I’ll build a long-term monitoring system with statistical tests that acts as your sonar, complete with a “Captain’s Workflow” for investigating alerts and correcting your course.
• Fend off the Sharks & Manage Your Resources: The long haul requires managing advanced risks. I’ll show you how to build data guardrails to protect against PII exposure and implement a multi-layered strategy—from mocking to pipeline architecture—to manage the time and cost of AI testing without crippling your budget.

If you’re ready to move beyond the kayak and build a vessel that can confidently navigate the dark ocean of AI, this is the session for you.

This webinar is designed for manual QA and test automation experts who are making their way into the new world of testing AI-based products.

Join me on December 3rd, at 3pm CET / 9am EST.