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Article: Runtime-Agnostic AI Workflows: A Pattern for Production Durability and Fast Eval Iteration
InfoQ.com·August 6, 2026·1 min read
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Runtime-agnostic AI workflows are designed to optimize production durability while allowing for rapid evaluation iterations. This approach seeks to balance the reliability of AI processes with the flexibility needed for quick testing and adjustments.
From the source
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 loo…
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