AI Resource, Usage, and Data Management + Quality Control On Completions

AI resource, usage, and/or data management + quality control on completions is/will be very important as more companies and SMBs adopt what is known to the public as AI now and in the future.

We're building aicosts.ai for cost / resource management and would love to learn more about overall operations for managing multiple AI services + how you handle AI resource, usage, and/or data management + quality control on completions.

Personally, I believe the future is that more and more companies will adopt foundational models + fine-tuning models for specific domains will be preferred + applications on topic of those implementations will be very important requiring attention towards multiple AI resource management.

Very curious on the communities' take on this topic.