Chat = conversational; API = system prompts, JSON, variables
Format
Audience
Length
These constraints get added directly to your prompt \u2014 where they actually matter.
0 chars · ~0 tokens · ~0 words
Try:
Select a template to load it into the editor. Templates auto-set task type, format, audience, and length.
One-Click Optimizer
Original
Optimized
Prompt Issues
Line Analysis
| # | Text | Type | Tok | Issues | Fix |
|---|
JSON Format
How to use this JSON prompt
1. API calls: Pass the JSON as the messages content body. Claude, GPT, and Gemini all accept structured content.
2. System prompt pairing: Use task as user message; constraints + output as system prompt.
3. Reusable templates: Save as template. Swap task and input_data per query, keep structure fixed.
4. Pipelines: Integrates with LangChain, LlamaIndex — schema maps to prompt-builder functions.
5. Token savings: JSON eliminates filler and forces structure, reducing tokens 30-50% for same quality.
Paste a prompt to get started
Set task type, audience, format and length, then click Analyze.
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