Tealium's Dr. Martin Nettling on reviewing AI-generated work

00:00 Martin Nettling's path from bioinformatics to engineering at Tealium.

05:15 Why you trust people but only have confidence in tools.

09:38 The augmented author model and owning AI-generated code.

20:03 When AI generates the artifact, humans absorb all the review effort.

29:19 The library upgrade that caused a 50% performance drop.

41:17 When AI writes your weekly report, the reflection disappears.

Cortex co-founder and CTO Ganesh Datta sits down with Dr. Martin Nettling, Senior Director of Engineering and Head of QA at Tealium, to explore the distinction between trusting people and having confidence in tools, and why that difference matters as AI becomes part of every engineering workflow.

Martin and Ganesh discuss the augmented author model, where engineers take full responsibility for AI-generated outputs rather than treating the tool as the author. They get into what breaks when AI writes your Jira tickets or pull requests without a human validating the thinking, why the ability to trace any decision from organizational strategy to production logs is a chain teams can't let break, and how organizations can build genuine confidence in automation without automating away the exercises that actually make teams learn.

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