AI Prompt Builder

Client-side only

Build well-structured AI prompts with role, task, context, constraints, and output format. Real-time token counter and instant copy. Works with ChatGPT, Claude, Gemini.

Output Format

Role / Persona (Who should the AI be?)

Task / Instruction (What should it do?)

Context / Background (Additional information)

Constraints / Rules (What to avoid or follow)

Output Format (How should the response be structured?)

Examples (Optional: show expected input/output)

Assembled Prompt

0 tokens · 0 chars

Fill in the fields to build your prompt...

What is a Structured AI Prompt?

A structured AI prompt separates different instructions into distinct sections like Role, Task, Context, Constraints, Output Format, and Examples. This improves AI model performance by reducing ambiguity and providing clear guidance.

Instead of writing a vague prompt like 'review my code', a structured prompt defines WHO the AI should be (expert developer), WHAT it should do (security review), WHY (production API), and HOW the response should be formatted (numbered list with severity).

Structured prompts work with any LLM: ChatGPT (GPT-4o, GPT-5), Claude (Opus/Sonnet), Gemini (3.1 Pro), LLaMA, Mistral, and others. They reduce hallucinations, improve accuracy, and produce more consistent results.

How to Use This Tool

Select your preferred output format: Markdown Headers (default), Plain Text, or XML Tags.
Fill in the Role field to define the AI's persona (e.g., 'expert data scientist').
Describe the Task - what you want the AI to accomplish.
Add Context to provide background information that helps the AI understand the situation.
List Constraints to specify what the AI should avoid or must follow.
Define the Output Format - how you want the response structured.
Optionally add Examples showing expected input/output patterns.
Watch the assembled prompt update in real-time on the right side.
Check the token count to ensure it fits within your model's limits (ChatGPT: 128K, Claude: 200K, Gemini: 2M).
Click Copy to copy the complete prompt to your clipboard.

Common Use Cases

Code Review

Build prompts for security audits, performance optimization, or code quality reviews with specific focus areas and output formats.

Content Writing

Create structured prompts for blog posts, documentation, or marketing copy with tone, style, and formatting requirements.

Data Analysis

Structure prompts for analyzing datasets, generating insights, or creating visualizations with specific methodologies.

API Design

Build prompts for designing REST APIs, GraphQL schemas, or database models with constraints and best practices.

Debugging

Create prompts for troubleshooting errors with context about the codebase, environment, and expected behavior.

Learning & Tutoring

Structure educational prompts with learning objectives, difficulty level, and explanation format requirements.

Frequently Asked Questions

Which AI models work with this prompt builder? ▾

All major models support structured prompts: ChatGPT (GPT-4o, GPT-5), Claude (Opus/Sonnet/Haiku), Gemini (3.1 Pro/Flash), LLaMA, Mistral, and open-source models. The Markdown format is universal.

When should I use XML tags vs Markdown? ▾

Use XML tags for Claude (Anthropic recommends it), Markdown for ChatGPT/GPT models, or Plain Text for simplicity. Most models work with any format, but some perform slightly better with their native format.

How many tokens can I use? ▾

ChatGPT-4o supports 128K tokens, Claude supports 200K, Gemini supports up to 2M. The token counter helps you stay within limits. Remember to leave room for the AI's response.

Do I need to fill all fields? ▾

No. Only fill sections that are relevant. Role and Task are the most important. Context helps with accuracy. Constraints prevent unwanted outputs. Examples improve consistency.

Is my prompt data sent anywhere? ▾

No. All prompt assembly, token counting, and formatting happens in your browser. Nothing is sent to our servers or any third party.

Can I save my prompts? ▾

Currently, prompts aren't saved automatically. Copy the assembled prompt and save it locally. You can paste it back into the fields later.

What's the best way to structure constraints? ▾

Use bullet points or numbered lists. Be specific (e.g., 'Max 500 words' instead of 'keep it short'). Include both 'do not' rules and 'must do' requirements.