29d (edited) • General Discussion
A Prompting Method That Changes Everything - JSON Prompts and How to Use Them
If you're still writing prompts the length of "War and Peace," and ChatGPT still produces some kind of nonsense, this article will change your life. Today I'll tell you about a programming method that makes neural networks much more responsive.
A Prompting Method That Changes Everything - JSON Prompts and How to Use Them
By the way, I'm Anton Shadrin. My job is to implement neural networks in business and make AI work for you, not you for it.
What is this JSON beast and why is it better than regular prompts?
JSON is simply a way to structure information. Imagine that instead of a solid sheet of text, you give ChatGPT a clear list: this is the role, this is the task, and this is the response format.
A typical prompt looks like this:
You're an experienced copywriter. Write a post for Instagram about the benefits of meditation. The text should be friendly and motivating, 150-200 words long. Use emojis and add a call to action at the end.
And here's the same prompt in JSON:
{ "role": "Experienced social media copywriter", "task": "Write a post for Instagram about the benefits of meditation", "style": "Friendly and motivating", "length": "150-200 words", "format": "Text with emojis", "cta": "Call to start meditating today"}
See the difference? In the second case, the neural network understands exactly what is being asked of it. No fluff, no double interpretations—a pure structure.
Why this works better (spoiler: it's in the neural network's brain)
ChatGPT was trained on millions of lines of code, where JSON is a standard data format. It's like its native language. When you feed information in JSON, the neural network switches to "oh, this is serious" mode and starts working more accurately.
I tested both approaches on over 50 tasks. The result: JSON prompts produce the desired result on the first try 80% of the time, compared to 60% with standard ones. The time savings are enormous.
Step-by-step instructions: creating your first JSON prompt
Step 1. Define the structure
Any prompt consists of basic elements:
role — who the neural network should be
task — what exactly to do
context — additional information
format — how to format the result
Step 2. Format in JSON
Each element is written according to the following pattern:
"key": "value"
Enclose everything in curly braces, separating elements with commas.
Step 3. Adding Details
The beauty of JSON is that you can easily add new parameters:
json
{ "role": "SEO Specialist", "task": "Write a meta description", "keywords": ["neural networks", "ChatGPT", "prompting"], "length": "155 characters", "style": "Informative with a call to action", "avoid": ["complex terms", "officialese"] }
Common mistakes and how to avoid them
Pitfall 1: Forgetting quotation marks
In JSON, all text values must be in quotation marks. Otherwise, the neural network won't understand them.
Pitfall 2: Extra commas
Don't use a comma after the last element! This is a common mistake.
Pitfall 3: Overly complex structure
Don't create 10-level nested JSON. Simplicity is the key to success.
Pitfall 4: Ignoring platform limitations
Suno (for music) has a prompt length limit. Keep this in mind when creating JSON.
Try using JSON for at least one task today. I guarantee you'll feel the difference immediately.
And now a life hack for the laziest (and thus smartest) ones. ChatGPT is great at converting regular prompts to JSON.
Convert my request to JSON format for [platform]. Identify the key parameters and structure them logically. My request is: [your regular prompt].
ChatGPT will automatically detect the necessary keys and format everything properly. It's proven to work even with the most complex requests.
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A Prompting Method That Changes Everything - JSON Prompts and How to Use Them
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