Nice assessment. It's good to get other perspectives on which of these AI systems are good for what tasks.

I'm using AI tools more every day. A couple of difficult issues are emerging:

1. my work is spread across systems so it can easily get lost, and the pieces don't easily connect without some manual work
2. the question of "build or buy" is getting tougher to answer; there might be a product that achieves some of what you'd like to accomplish, but building your own is easier than ever! But will you miss out on a big leap in ability, or is it worth risking being de-platformed or getting your data surveilled or used without your permission?

I'm building Open for Product in an attempt to mitigate some of these issues, even while plugging in to the AI tools and systems that are becoming so pervasive.

For instance, one project on Open for Product is called "Session Queen". The idea is an AI aggregator, which are in no short supply, but hopefully with some value add that sets it apart.
Session Queen: Rule your chaos. 😂

Even though I created this prototype myself (I mean I built it; didn't buy it—although it was generated in collaboration with AI for the code), there's a possibility I could plug in to a system like ClickUp instead of maintaining my own code base exclusively. We'll see which direction things go.

For instance, another project on the Open for Product site, "Open Product" offers the idea of white labeling the Open for Product community model. Maybe that would be ultimately easier to build if it were offered using a framework that already exists, or even as agnostic to the framework (i.e. architected to work with Skool or Monday.com or ClickUp or build your own or stick with the OfP ecosystem etc.)

All in all, many industry experts are saying the same as you: AI is on its way to becoming a true collaborator in our work. We're in for a wild ride by any measure!