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Prompt Engineering Guide

Mastering JSON schema generation
on DeepSeek V3

Stop guessing. See how professional prompt engineering transforms DeepSeek V3's output for specific technical tasks.

The "Vibe" Prompt

"Generate a JSON schema for a 'product' object with fields like name, price, description, and an array of categories."
Low specificity, inconsistent output

Optimized Version

STABLE
Task: Generate a JSON Schema Draft 2020-12. Target Entity: 'Product'. Required Fields: - 'name': string, e.g., 'Apple iPhone 15 Pro' - 'price': number, e.g., 999.99 - 'description': string, e.g., 'The latest iPhone with A17 Bionic chip.', optional, multiline - 'categories': array of strings, at least one item, unique items, e.g., ['Electronics', 'Smartphones'] Additional Constraints: - 'price' must be non-negative. - 'name' must be between 3 and 100 characters long. - 'description' should have a maximum length of 500 characters. Output format: Strict JSON.
Structured, task-focused, reduced hallucinations

Engineering Rationale

The optimized prompt provides clear instructions, specifies the JSON Schema draft version, explicitly lists required fields with their types and example values, details optional fields, and adds specific validation constraints (e.g., non-negative price, min/max length for name and description, array constraints). This reduces ambiguity and guides the model to produce a more precise and compliant schema without requiring additional clarification or 'thought'. It effectively front-loads the 'chain of thought' into the prompt itself by structuring the requirements.

0%
Token Efficiency Gain
optimized_prompt contains 'Task: Generate a JSON Schema Draft 2020-12.'
optimized_prompt specifies data types for each field.
optimized_prompt includes example values for fields.

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