DSLs Boost Reliability for Large Language AI

The article explores the role of domain‑specific languages (DSLs) in AI workflows. It argues that DSLs can add structure to interactions with large language AI. By defining clear syntax, DSLs reduce ambiguity in prompts. The approach aims to make outputs more predictable and trustworthy. Fowler illustrates the concept with practical examples. He highlights how DSLs can enforce constraints during generation. The technique offers developers a tool for safer AI integration. Readers are encouraged to experiment with DSLs in their own projects.