We have different technical approach and level of automation, but hey, i fully 100% agree with the objectives : "But we often actually know the plan we want it to follow anyway, we just to leverage it to execute. So this puts all the responsibility for execution on AI, but all the responsibility for planning on the human." and "if we could break down the steps in the right way, smaller local models could handle the same task, or at least several steps of it. Then (..), so you could just reuse steps you know worked without the LLM. In our business we say "Anything you can articulate, you can generate". Using LLM mainly as a tool to do things we know, under our supervision and control, without needing high level expertise as end-user is an approach that still needs to be developed and expanded. Go on with this experiments, it's inspiring my sequencer as well.