As far as I can tell, there are exactly 3 use cases that have demonstrably worked with AI, in the sense that their stakeholders (not the AI companies, the users) swear it works.
1. training a RAG on support questions for chat or documentation, w/good material
2. people doing GTM work in marketing, for things like email automation
3. people using a combination of expensive tools - Claude + Cursor + something else (maybe n8n, maybe a custom coding service) - to make greenfield apps
I know of 4th - line level interference. I love how it works in IDEA, 30% of time I just slap TAB to accept generated code, if it is wrong I just continue writing as usual. Avoids most drawbacks: you don't pay for it(it is running on local CPU), the "review" is instant while still providing boost to productivity.
A $200/month Cursor plan spent on Opus 4.5 calls is not expensive compared to the silly amount of work it will do if you make proper use of plan/agent/debug cycles.
1. training a RAG on support questions for chat or documentation, w/good material
2. people doing GTM work in marketing, for things like email automation
3. people using a combination of expensive tools - Claude + Cursor + something else (maybe n8n, maybe a custom coding service) - to make greenfield apps