I recently experienced almost the same thing: I spent two weeks trying to reconcile five different approaches before I chose one and stopped reading. No one mentions that most of this advice is written for completely different scales, so they're more incompatible than mutually exclusive. What helped me was focusing on one specific constraint in my case, budget and building the rest of the implementation logic around that single point.

The problem of inconsistency is real, but it usually disappears once you understand that deploying AI agents requires real governance from the start, not something you add later. Agent permissions and budget constraints aren't separate discussions. Whoever advised you to quickly implement changes probably has never encountered an unauthorized agent launch in production. Personally, I suggest you pay attention to the platform. You can learn about AI agent governance there ​https://agyn.io/​​​