I feel like this is a linear optimization problem (maximize benchmark score for games and/or for work) constrained on price / part compatibility, not something

I feel like this is a linear optimization problem (maximize benchmark score for games and/or for work) constrained on price / part compatibility, not something which you can just feed into ChatGPT. Unfortunately, the compatibility constraints are tricky, as well as understanding what the benchmark score would be with a nonlinear set of items. What I would do is classify each item to the best item year (similar to FB's best device year), find benchmark scores for representative sets of item-years, and use that as a 'oracle' to guide the solver.