I've got a blog on this from the launch of Muscle Mem, which should paint a better picture https://erikdunteman.com/blog/muscle-mem https://erikdunteman.com/blo

I've got a blog on this from the launch of Muscle Mem, which should paint a better picture https://erikdunteman.com/blog/muscle-mem https://erikdunteman.com/blog/muscle-mem Computer use agents (as an RPA alternative) is the easiest example to reach to: UIs change but not often, so the "trajectory" of click and key entry tool calls is mostly fixed over time and worth feeding to the agent as a canned trajectory. I discuss the flaws of computer use and RPA in the blog above. A counterexample is coding agents: it's a deeply user-interractive workflow reading from a codebase that's evolving. So the set of things the model is inferencing on is always different, and trajectories are never repeated. Hope this helps