I am not switching the different LLMs as much, but my approach is similar:

1. I write a list of things I want to have without AI support

2. I discuss the list with an LLM, which occasionally reveals obviously missing things I hadn't thought about or just things that would be smart to have. Or sometimes the LLM doesn't get it and wants to funnel me down a commonly walked path, which is a non-goal

3. From that list I draft an implementation plan containing things like how the code shall be structured, which language, libraries, build systems, etc to use. This may even contain some data models and considerations that are more detailed, like for example ideas about how a specific interaction shall be event sourced. I work on that, till I feel a satisfactory level of clarity has been reached

4. Actual writing of code as a back and forth between manual writing, letting an LLM write something and so on. LLMs suck at writing CSS that feels like good UX design to me, so usually templates, layout and CSS will be (re)written entirely by hand

5. Bug-hunting and guessing potential edge cases is one thing where LLMs really shine. Often if the work before that was quality the LLM has an okay time coming up with fixes that are no worse than what I would have done.