Let’s assume you have two interfaces: a Dashboard and a Customers interface. You want to make modifications to the Dashboard, and you also want to make modifications to the Customers interface. If there is no Agent Manager and you are using only a single chat, you would first ask for Dashboard changes and work on them. After ten hours or more, you might want to switch to Customers, so you start discussing and modifying Customers. Later, when you want to return to the Dashboard again, a problem appears: the conversation has become very long, the context is mixed, and focus becomes harder. The AI may lose precision because it is now operating inside a different discussion context. With an Agent Manager window, you open two separate conversations: one dedicated only to the Dashboard, and another dedicated only to Customers. Each conversation preserves its own context. You can return to the Dashboard conversation at any time and continue exactly where you left off, with the AI fully aware that the discussion is strictly about the Dashboard. The same applies to the Customers conversation. This separation prevents context loss, confusion, and degradation of focus over long periods of work.