AI Tools During Production Outages? Watch This First.

If you're using AI tools during production outages, please pause and watch this video.

This fictional, yet hyper-realistic 30-min discussion is highly recommended, whether you're just looking for some super-engaging content, or are debating whether you should pull the plug on AI tools in production.

It covers real mindsets, perspectives and constraints that engineering teams face when AI meets crisis situations.

The scenario: 2:47 AM payment system crash, $50,000/min revenue loss, and AI tools that make everything worse instead of better.

What we explore:

How ChatGPT suggestions can mislead junior engineers
Why AI monitoring creates more noise than signal during outages
The psychology of trusting AI under extreme pressure
Real examples of AI helping vs. hurting in production
Practical lessons from teams who've been there

Based on actual production incident patterns and documented AI tool behaviors. The characters and specific incident are fictional, but the technical challenges and human responses are very real.

Disclaimer: I am neither pro-AI nor anti-AI, just trying to give people diverse perspectives on what actually happens when these tools meet production reality.

Worth watching if you've ever wondered whether your AI-enhanced monitoring and automation will help or hurt when things go sideways at 3 AM.