How do you improve troubleshooting when working with General AI Devices?

A useful way to look at How do you improve troubleshooting when working with General AI Devices? is to focus first on troubleshooting and general. That tends to make the trade-offs easier to compare. The original point — "I have been exploring General AI Devices and wanted to ask people who have tried it in practice. I am particularly interested in troubleshooting and performance. I would like to c…" — gives a useful starting point for that comparison.

I think troubleshooting and general is the key part of this topic. A practical approach is to define the outcome you want, test it with a small example, and then check quality, speed and reliability separately. That way you can improve the workflow without losing track of what caused the improvement.