therealmocker

I’m seeking advice on the scenarios where large language models (LLMs) shine and where they may not perform as well.

What types of problems have you successfully solved with LLMs? What are some common pitfalls or areas where they tend to underperform?

Basically cron but centralized. Useful for organizations with lots of applications because:

- Development teams don't have to roll their own solution - Single interface for teams to pause jobs during maintenance windows - Easily see job failures across an entire organization - More advanced job orchestration and workflow capabilities

There are many ways to solve this (purpose-built applications, k8s jobs, cloud services, scheduled pipelines, etc). I am curious about what others have seen or are using.