There’s also an interesting downside here. Consistency is only useful if the instructions and knowledge are correct. An agent following a bad process perfectly can actually create more problems. So I think maintaining the agent becomes just as important as deploying it.
‎
‎

‎For me, reliability matters more than how impressive the demo looks. An agent doing ten things perfectly is more useful than one that claims to do fifty things but needs constant checking. Trust is going to become a huge part of SaaS adoption.
‎

The idea I like most is treating the agent more like something you can manage through a conversation instead of a collection of settings pages. If the insights are actually useful and the changes are reliable, I can see this becoming part of the regular workflow rather than just a feature people try once.
‎

Honestly, I think we’ll see a hybrid approach become pretty common. Users will interact with what feels like one AI assistant, but behind the scenes it’ll delegate tasks to different specialized agents depending on what the user is trying to accomplish.
‎