Are you able to walk through a specific use case or example case in detail? I'm not yet totally grokking what Butter is going to do exactly.
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
Also:
After my time building computer-use agents, I’m convinced that the hybrid approach of Muscle Memory is the only viable way to offer 100% coverage on an RPA workload.
I guess it'd be great if you could clarify the value proposition, many folks will be even less patient than myself.
Best of luck!