ou're spot on—the performance-per-dollar variance across instance families right now is wild, and static provisioning almost always leaves money on the table. The real challenge is that workload profiles shift faster than teams can manually re-evaluate these benchmarks. We actually built CloudThinker to automate exactly this: continuously mapping real-time resource usage to the most cost-efficient compute across multi-cloud environments. It's much easier when an AI agent handles the rightsizing migrations autonomously.