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AI Instructions.

How to Write Prompts That Actually Work

When ChatGPT first launched, everyone just typed simple questions into a chatbox like "write me an email." Now, serious developers are building AI agents that run on their own to extract data, format it, and make real decisions. To make that work reliably, you can't just chat casually; you need to build a structured prompt chain.

What is a Structured Prompt?

A prompt chain simply breaks a big, confusing task into small, clear steps. When you force the AI to read instructions block-by-block, it gets confused less often. It stops making things up (hallucinating) and gives you exactly what you asked for.

The Four Blocks of a Good AI Prompt

The tool above lets you snap together the four main parts of a solid AI prompt:

• Role (System Persona): This sets the stage. It tells the AI exactly who it is acting as (like "You are a Python Developer" or "You are a helpful customer service rep").
• Find Data (Data Extraction): Clear rules on what data the AI needs to find in the text you give it, and what it should completely ignore.
• Format (Output Rules): If you're a developer, this is the most important part. Forcing the AI to spit out perfect JSON, Markdown, or CSV means your own code can actually read and use the result without breaking.
• Rules (Constraints): Telling the AI what *not* to do. Setting hard rules like "Do not apologize" or "Keep your answer under 50 words" keeps the output clean.