Structured Output (JSON & Tables) — Hugging Face (open-source)
When you need output your app or spreadsheet can actually use, explicitly request a schema.
The prompt
System: Respond only with valid JSON matching this schema: {"summary": string, "sentiment": "positive"|"neutral"|"negative", "keywords": string[]}. User: [paste customer feedback]What to replace
Swap these placeholders for your own details before running the prompt:
[paste customer feedback]your own value
Pro tip: Always show the exact JSON schema in the prompt itself — models follow explicit key names far more reliably than vague descriptions.
How to use this prompt
- Copy the prompt using the button above.
- Replace [paste customer feedback] with your own details — the more specific you are, the better the output.
- Paste it into Hugging Face (open-source) and run it.
- If the answer feels generic, add constraints: audience, length, tone, and what to avoid. That single change fixes most weak output.
Learn the technique
Structured Output (JSON & Tables)
Module 2 — Core Techniques · Prompt Engineering Fundamentals
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Every strong prompt combines five parts: Role (who the AI should act as), Context (background info it needs), Task (the specific ask), Format (how you want the output structured), and Constraints (length, tone, things to avoid).
ClaudeThe 5-Part Prompt Framework — Claude
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Related across the site
Structured output
Structured output means constraining a model to return data in a machine-readable shape such as JSON, usually by specifying the exact schema in the prompt or using a provider feature that enforces it.
JSON Schema
JSON Schema is a standard vocabulary for describing the shape of JSON data — its keys, types and required fields. AI providers use it to constrain model output to a guaranteed structure.
Structured Output (JSON & Tables) — ChatGPT
When you need output your app or spreadsheet can actually use, explicitly request a schema.
Fine-tuning
Fine-tuning continues training a pre-trained model on your own examples to specialise its behaviour. It is the right tool for teaching consistent style, format or classification behaviour — not for adding knowledge.
10 Prompt Mistakes That Make AI Output Generic
The specific, fixable reasons AI output comes back bland — and what to write instead. Each mistake includes a before-and-after example you can apply immediately.
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