Disagree with the point about anything less than opus being harmful to learning. Much of my learning still requires experimentation - including lots of token v

Disagree with the point about anything less than opus being harmful to learning. Much of my learning still requires experimentation - including lots of token volume so hitting limits is a problem. And secondly I’m looking for workflows that build the thing without needing to be at the absolute edge of the LLM capability. Thats where fragility and unpredictability live. Where a new model with slightly different personality is released and it breaks everything. I’d rather have flow that is simple and idiot proof that doesn’t fall apart at the first sign of non-bleeding edge tokens. That means skipping the gains from something opus could one shot ofc but that’s acceptable to me