What if you could compress a 3-day QA cycle into 30 minutes by running three AI models against each other while you test?
In this clip, I break down "walking the factory floor" — the testing method I built to ship product updates three times per day.
Here's what's covered:
— Why I still test everything manually despite using AI heavily
— Running Claude, GPT, and Gemini simultaneously during screen recordings
— How the AI feedback loop auto-compiles into formatted GitHub issues
— Why "AI says it works" is never enough verification
— How this replaced the old screenshot-and-document workflow
Tools in the workflow:
— Claude (Anthropic)
— GPT (OpenAI)
— Gemini (Google)
— GitHub Issues
— Screen recording
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