Run AI Workflows Fast and Durable with a Runtime‑Agnostic Pattern
The article proposes writing AI workflow logic without any runtime assumptions, then plugging in the appropriate engine for production or evaluation. This guarantees the same code runs reliably in production and instantly in eval, eliminating version drift, while acknowledging the added orchestration overhead.