AI Prompt Template Builder

What Is an AI Prompt Template Builder?

An AI prompt template builder is a structured editor for creating reusable prompts that produce consistent, high-quality outputs from language models. Instead of typing ad-hoc instructions each time you use an AI tool, you design a template with defined sections — system instructions, context, task description, format requirements, and example outputs — that you can fill in and reuse.

This tool provides a visual interface for assembling prompt components, adding template variables, previewing the final prompt, and exporting templates for team use. It bridges the gap between casual prompting and systematic prompt engineering.

How to Use This Tool

1. Choose a template — Pick one of the three starters (Blog Writer, Code Reviewer, Email Drafter) or click + New for a blank one, and give it a name.
2. Write the two prompts — Each template has two parts: the system prompt (who the AI should be and any rules) and the user message (the task, context, output format and constraints). Writing those elements as separate paragraphs in the user message keeps the prompt easy to scan.
3. Add template variables — Insert variables like {{topic}}, {{audience}}, {{length}} that you fill in each time you use the template. Each new variable is added to the Variables list, where you set its value.
4. Preview and export — The previews show the system prompt and user message with your values filled in. Copy Prompt copies both as text, Generate JSON builds an Anthropic or OpenAI request body, and Export templates saves your templates as a JSON file.

Worked example: one template, two request formats

The Email Drafter starter shows the whole path from template to request. Its user message is Write a {type} email to {audience} about {subject}. Goal: {goal}. Max length: {words} words., with five variables. Values are inserted exactly as typed, so the starter's subject value product launch produces "about product launch"; typing the product launch instead fixes the grammar. Put articles and punctuation in the value, not around the placeholder, when they depend on what is filled in.

With that value, Generate JSON in Anthropic Messages format writes:

{
  "model": "claude-sonnet-4-20250514",
  "max_tokens": 1024,
  "system": "You are a professional copywriter.",
  "messages": [
    { "role": "user", "content": "Write a marketing email to newsletter subscribers about the product launch. Goal: drive signups. Max length: 200 words." }
  ]
}

and in OpenAI Chat Completions format:

{
  "model": "gpt-4o",
  "messages": [
    { "role": "system", "content": "You are a professional copywriter." },
    { "role": "user", "content": "Write a marketing email to newsletter subscribers about the product launch. Goal: drive signups. Max length: 200 words." }
  ]
}

The difference is where the system prompt goes. Anthropic's Messages API takes it as a top-level system field and requires max_tokens; OpenAI's Chat Completions API takes it as the first message with the role system, and max_tokens is optional. Both outputs are request bodies only: you send them yourself with your own API key, and the model name field is free text, so set it to the model your account uses before sending. Nothing is sent from this page.

Generate JSON was checked in Chromium on October 12, 2026 alongside variable detection, autosave across a reload, and export and re-import of templates.

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