I Built an AI Agent That Can Watch Webpages for Hours Without Burning API Tokens

One thing has always bothered me about a lot of AI agents: they keep spending money even when nothing is happening. If you ask an agent to watch a webpage and tell you when something changes, many systems handle that in a surprisingly expensive way. They keep involving the LLM while waiting, repeatedly checking the same page, repeatedly thinking about the same unchanged state, and repeatedly burning tokens just to remain “aware.” That feels wasteful. Waiting is not reasoning. So I built a different approach into my open source project, GrimmBot: when it needs to monitor a webpage or screen for a specific condition, it can enter a zero-token monitoring loop and stay there for as long as necessary. No constant LLM calls. No paying for inactivity. The model only wakes up once the condition is actually met. Repo: https://github.com/grimm67123/grimmbot Demo videos are in the repo. The problem A lot of agent workflows sound simple on paper: “Wait until this dashboard shows a certain status”