By this logic you'd probably be wise to tier your claude.md by model (sonnet/opus) as well as effort level too, considering the varying failure modes
By this logic you'd probably be wise to tier your claude.md by model (sonnet/opus) as well as effort level too, considering the varying failure modes
except they have similar pretrain/rlhf data which is the thing u really want to tune for
YMMV but for me even models in the same family fail in different ways, and every incremental update changes it