Structured Outputs at Scale: Three Approaches, One Clear Winner

📰 Medium · AI

Learn how constrained decoding outperforms prompt engineering for structured outputs in terms of reliability and speed

intermediate Published 22 May 2026
Action Steps
  1. Apply constrained decoding to your model for structured outputs
  2. Compare the performance of constrained decoding and prompt engineering
  3. Configure your model to prioritize reliability and speed
  4. Test the efficiency of constrained decoding at scale
  5. Evaluate the results and refine your approach as needed
Who Needs to Know This

AI engineers and researchers can benefit from this approach to improve the efficiency and accuracy of their models, while product managers can use this knowledge to inform their product strategy

Key Insight

💡 Constrained decoding is a more reliable and faster approach than prompt engineering for generating structured outputs

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Constrained decoding beats prompt engineering for structured outputs in reliability and speed!
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