Madewell.ai

Build Your AI Prompt

Create structured JSON prompts for better AI interactions

Prompt Fields
Define the structure of your AI prompt
💡 Click "+ Sub" to add nested properties inside any field
JSON Preview
Live preview of your JSON prompt
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Learn the Fundamentals
A complete guide to creating better, more structured AI prompts that get consistent results

What is JSON Prompting?

JSON prompting is a structured way to interact with AI models by using JSON (JavaScript Object Notation) as the input format. This approach transforms your prompt into a clearly defined task with specific parameters, reducing ambiguity and improving consistency.

Rather than asking the AI in natural language (which can be vague), you act like a builder giving blueprints. The structure gives the model clarity on what to do, how to do it, and what output format to return.

Why JSON Prompting Works

Clarity

Defines the task, structure, format, and tone up front

Consistency

Models respond more reliably and predictably

Chainability

Outputs can be reused as inputs for next steps

Portability

Works across models, tools, and environments

JSON = structure. Freeform = chaos.

When to Use JSON Prompting

Use JSON when your outcome requires structure, repeatability, and precision. Perfect for:

✓ Great for:

  • Generating content (blogs, tweets, emails)
  • Writing/debugging code
  • Creating business deliverables
  • Automating workflows
  • Defining strategy

✗ Avoid for:

  • Freeform brainstorming
  • Creative storytelling
  • Dream journaling
  • Open-ended conversations

5 Key Tips for Success

1

Stay Shallow

Keep nesting under 3 levels deep. Too many layers confuse the model.

2

Be Explicit

Define exact formats, fields, and constraints.

3

Use Temperature 0

Lower temperature = more deterministic, essential for structured output.

4

Retry on Failures

Use 3 retries with temp=0 before human review. This covers 99% of issues.

5

Validate Outputs

Schema validation acts like a contract. Invalid formats get rejected.

Example Use Cases

1. Content Creation

{
  "task": "write content",
  "platform": "twitter", 
  "structure": {
    "hook": "short, curiosity-driven",
    "body": "3 insights with smooth flow",
    "action": "1 strong question"
  },
  "topic": "how to stay focused as a founder",
  "output_format": "text"
}

2. Code Generation

{
  "task": "write code",
  "language": "python",
  "goal": "build a script that renames all files in a folder",
  "constraints": ["must work on MacOS", "include comments"],
  "output_format": "code only"
}

3. Business Strategy

{
  "task": "act as brand consultant",
  "client": "early-stage AI tool", 
  "goal": "define clear positioning",
  "deliverables": ["1-liner", "target audience", "3 key differentiators"],
  "tone": "simple and strategic",
  "output_format": "bullet points"
}

Before vs. After: See the Difference

✗

Vague Prompt

"Can you help me write a tweet about staying focused as a founder?"

Too vague, inconsistent results

✓

Structured JSON Prompt

{
  "task": "write content",
  "platform": "twitter",
  "structure": {
    "hook": "short, curiosity-driven", 
    "body": "3 insights with smooth flow",
    "action": "1 strong question"
  },
  "topic": "how to stay focused as a founder",
  "output_format": "text"
}

Clear, specific, consistent results

✗

Vague Prompt

"Write me a Python script for files."

Too vague, inconsistent results

✓

Structured JSON Prompt

{
  "task": "write code",
  "language": "python",
  "goal": "build a script that renames all files in a folder",
  "constraints": ["must work on MacOS", "include comments"],
  "output_format": "code only"
}

Clear, specific, consistent results

✗

Vague Prompt

"Help me figure out my AI brand."

Too vague, inconsistent results

✓

Structured JSON Prompt

{
  "task": "act as brand consultant",
  "client": "early-stage AI tool",
  "goal": "define clear positioning", 
  "deliverables": ["1-liner", "target audience", "3 key differentiators"],
  "tone": "simple and strategic",
  "output_format": "bullet points"
}

Clear, specific, consistent results

The Bottom Line

Stop asking. Start specifying.

JSON prompting turns vague requests into production-ready instructions. Think like an architect, not a poet. Structure your prompts and watch your AI workflows become 10x more reliable, scalable, and useful.