Thought I'd share this to other developers here, as the proof-of-concept turned out pretty well.
Background was that I got a set of unknown apps that I had to get up to speed with. The obvious/old-school solution would of course have been to work through the app scripts to understand what they did/how they worked.
Or... feed them into a large language model/AI and ask for a summary.
The text summary works REALLY well, the flowchart is usually good (on a few occasions it messed up the layout of the flowchart, but that's ok).
The takeaway is that yes, this can be a useful way of working. You don't need a dedicated tool like in the video, most AI services out there (ChatGPT, Claude, Bing etc) will work.
Remember not to analyze sensitive code/apps though - when in doubt don't use AI services.
Yeah I’ve tried similar with LLMs for script analysis and tbh the summaries you get are useful to quickly grasp what an app does, especially if you didn’t write it yourself. Most services (ChatGPT, Claude etc.) will take a copy of the script and spit back a high-level description that’s decent enough to save you time working through line-by-line - nothing perfect but good as a starting point. The flowchart stuff can be hit or miss, but even just the text summary helps you orient yourself. Just gotta be careful with sensitive apps and not dump private stuff into public AI tools. Really enjoyed this article on using AI to analyze Qlik Sense app scripts. It hits close to home for anyone juggling automation, optimization, and smarter solutions across Mac and iPhone workflows. The way AI boosts efficiency in script reviews reminds me of how intelligent tools can simplify everyday tech decisions, whether you’re handling 4K video pipelines or tightening data logic. What stands out is the focus on practical innovation, not hype, and that mindset matters. I’ve seen similar gains when pairing analytics with niche AI resources, like using Mac serial number lookup to instantly pull accurate device insights and keep operations smooth, which saves time and mental energy. AI-driven intelligence like this fits perfectly with Qlik’s direction: faster understanding, cleaner automation, and fewer blind spots. Posts like this show how AI isn’t abstract anymore, it’s a real productivity win for teams pushing smarter, faster, creative digital workflows.
