Other than that I can't think of a reason to use this over jq; the query language is perhaps a bit more forgiving in some ways, but not as expressive as jq (and I've spent ~8 years getting pretty familiar with jq's quirks)
Followed closely by figuring out the path to the area of data I'm interested in. "gron" has been a real time saver there - it converts the json into single lines of key/value - so you can use grep and find the full path for any string.
Switching to a GUI to browse the JSON that would let you copy the path to the current value would probably also help there, but, I'm usually in the terminal doing a bunch of different tasks looking through all manor of command outputs, logs, etc :)
Relatedly my primary use of ChatGPT has been asking it to write jq queries for me, it's not too bad at getting close. It's biggest blindness seems to be string values with a dash, which you have to write as ["key-name"].
Nonetheless, it is pretty slow at processing data. For example, converting a 1 GB JSON array of objects to JSON Lines takes ages, if it works at all. Using the steaming features helps, but they are hard to comprehend. It gets memory consumption under control and doesn't take super long, but still way too long for such a trivial task IMO.
Try https://jless.io/ then.
I use an app called OK JSON on the mac for this. Its okay.