Every AI testing tool on the market right now is selling the same story: "just describe what you want, and AI figures it out." Sounds great—until the same test produces a different result on Tuesday than it did on Monday, and your team is left debugging the tool instead of the product. This session is for teams who are done gambling on AI-generated tests and want to restore trust in their QA process.

What You Will Learn:

• Deterministic AI Testing: What it actually takes to achieve consistent, reliable results (same input, same output, every time) using Applitools' MCP-based approach.


• Figma-to-UI Visual Validation: How to automatically validate live UI implementations directly against Figma design specifications, automatically matching viewport dimensions and eliminating false positives without brittle export scripts.


• Intent-Based Natural Language Automation: How to write resilient, self-healing automated tests in plain English—replacing fragile CSS/XPath selectors with natural intent that stays immune to DOM shifts.

If you have sat through webinars that promised "AI testing magic" and left with more questions than answers, this session is the one you’ve been wanting. Join us to discover how to move past the superficial demos and implement resilient, enterprise-grade AI testing.