If you’re trying to understand the dynamic of real world agent adoption this post is a great place to start. Everyone got so hooked on talking to chatbots that there’s limited recognition still that working with an agent is much more like managing someone in a process vs. just asking an ai some questions and getting a response back. “prompting an agent is closer to writing a spec than asking a question. you have to scope the task extensively and define what "done" looks like.” Ultimately, the real upside of agents is when you start to change the underlying workflow itself instead of just treating it as another system you ask questions of. This means getting the agents the right data to work with, crossing organizational boundaries, and evolving the human in the loop steps for when people actually review the work. All of this has to change about today’s processes for the big upside to occur. The end result is that it’s most likely that the vast majority of token usage in an enterprise will be agents that are “deployed” to go execute tasks inside of workflows.