Article: Runtime-Agnostic AI Workflows: A Pattern for Production Durability and Fast Eval Iteration

AI workflows have two needs that trade off directly. Running reliably in production requires persisting and distributing every step so it survives crashes, deploys, and restarts. But that same machinery is what makes runs too heavy for the fast, throwaway loop you need to check an LLM