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Design prompts for reliable JSON output (ANSWERED)

Scenario BasedPrompt EngineeringMedium12 min read

Structured JSON output from LLMs is a production necessity at Stripe, Vercel, and every AI-native startup. Interviewers test your reliability engineering — schema enforcement, retry logic, streaming edge cases — not just 'use JSON mode.' Master the full production playbook.

Design prompts for reliable JSON output
Prompt Engineering · Production

TL;DR — Quick Answer

Use structured output modes, JSON schema in prompt, few-shot examples, response format constraints, and validation with retry logic.

The Interview Question

How do you prompt an LLM to consistently return valid, schema-compliant JSON?

Deep Explanation

Best practices: (1) Native structured output (OpenAI JSON mode, tool calling), (2) Explicit schema in system prompt, (3) Few-shot valid/invalid examples, (4) Lower temperature, (5) Post-parse validation with automatic retry on failure, (6) Use Pydantic/Zod for schema enforcement.

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JSONStructured OutputReliabilityStripeVercel

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