A new approach to prompt engineering focuses on improving consistency by enforcing structured output from language models. Instead of free-form responses, models are guided to produce outputs in predefined formats like JSON, XML, or custom schemas, reducing variability and parsing errors. This technique is especially useful for applications requiring deterministic data extraction, such as database updates or API calls. By constraining the output space, developers can achieve more reliable performance without extensive prompt tuning.
Boosting Prompt Reliability via Structured Output Formats
AI
April 26, 2026 · 4:32 PM