The user @brailsafe gave an answer that embodies some things I was going to say.

You're accounting for the time wins, not accounting for the time losses.

For a human chat user, that's when the LLM fails an answer or answers wrong. For an LLM coder, that's when context rot creeps in and you have to restart your work, and so on.

There are people who don't care much if they are being bamboozled for $30/mo, they have nothing to prove nor grand expectations for the thing. To them, cargo culting might be fun and that's what they extract from the bargain.

I am directing my answers mostly to people, companies or individuals, who have something to prove (evangelists, AI companies, etc). To those, a series of imperceptible small losses that results in debt in the long run is a big problem.

My suggestion (the recording session) also works as a metaphor. That could be, instead of video, metrics about how contexts are discarded. It is, in that sense, also something they can decide to share or not, and the extent to what they share should be a sign of confidence in their product.

Makes sense?