Stop Grading the AI. Start Teaching It.
Does the tester survive AI? Wrong Question. Agents now write both code and tests, and the industry's instinct-putting a human downstream to grade output-doesn't scale. It also wastes the quality engineer's judgment in the least useful spot possible.
The real answer: teach agents your standard once, so every session inherits it automatically. That's Quality Experience Lay (QEL).
This session shows QEL like in Digital.ai Testing-a standard authored once, inherited across agent-driven test authoring, and proven on real devices and browsers, including hardened obfuscated builds most tools can't see into.
The quality engineer becomes the architect every agent inherits from.
Joseph Hurley
Joseph Hurley has spent more than two decades at the intersection of technology and the disciplined practice of delivering it – beginning as a software developer and moving through senior consulting and solution- architecture roles spanning IT service management, asset management, discovery and configuration data, and enterprise API and automation strategy. His career has centered on a single recurring question: how organizations turn the raw output of technology into something the business can actually trust and rely upon.
He is the author of a body of thought-leadership work on knowledge, service, and quality in IT – including "From Gatekeeper to Architect: The QE Engineer in a Post-AI World," which named the Quality Experience Layer, and "The Hidden Cost of Bringing AI to Your Testing Stack." He has presented at industry forums, holds certifications across IT Service and Asset Management.