The 3-layer rule that means I never rebuild my AI OS when a new model drops

Every time a new model drops, half the feed panics about rebuilding their setup. I used to be in that camp - then I split my system into three layers and the panic stopped:

Context (your data, conventions, project knowledge) -> lives in plain files you own. Markdown, git. Not locked inside any one tool.
Logic (your prompts, skills, the actual steps) -> versioned, in the same repo. This is your real IP. Treat it like code.
Model (the engine) -> swappable. It's the ONLY thing that should change when something new launches.

When Opus 4.8 dropped I changed basically one line. The people rebuilding for a week had glued all three layers together - their context lives inside the tool, their prompts are scattered across chat histories, so a model change becomes a teardown.

Rule of thumb: if a new release forces you to REBUILD instead of RECONFIGURE, your layers are fused. Pull them apart now, while your system is still small and it's cheap to do.

Curious how others draw the line - does anyone keep logic and context together on purpose, or do you separate them like this?

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