AI Engineering • Token Optimizer

Markdown AI Prompt & Context Formatter

Format raw Markdown documents into production-ready Claude XML tags, Cursor rules, and ChatGPT prompts with token and cost estimation.

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Est. Tokens

243

Characters

922

Cost (GPT-4o)

$0.00061

Cost (Claude 3.5)

$0.00073

Target AI Framework

System Role / Persona Instructions

Context File Tag / Filename

Strip HTML CommentsCompress Extra Blank Lines

Raw Markdown Source Document

Formatted AI Prompt Output

<system>
Act as a Principal Software Engineer and Senior Code Reviewer. Analyze the following context and adhere strictly to all architectural constraints.
</system>

<context filename="project-specification.md">
# Product Architecture Specification
Version: 2.4.0
Status: Production

## System Overview
The system provides client-side document processing for Markdown workflows.
All algorithms run inside the user's browser sandbox using pure TypeScript.

### Core Business Rules
1. Never transmit plaintext documents to external API endpoints.
2. Ad slots must maintain fixed height wrappers to enforce CLS = 0.00.
3. Every UI control must use accessible Lucide SVG icons.

### API Schema Definition
```typescript
export interface DocumentPayload {
  id: string;
  markdown: string;
  timestamp: number;
}
```
</context>

<instructions>
Please review the context above and follow the system instructions.
</instructions>

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Complete Guide & Overview

Free Online Markdown AI Prompt & LLM Context Formatter

Format and optimize raw Markdown documentation into structured prompts for Claude, Cursor rules (.cursorrules), ChatGPT, and Gemini. Strip redundant tokens, clean comments, and estimate API costs in real time.

How to Use the Markdown AI Prompt Formatter

Paste Markdown Specification

Upload or paste your system requirements, API specifications, or document context.

Select AI Model Format

Choose Claude XML, Cursor .cursorrules, or OpenAI system/user prompt formatting.

Copy or Export Prompt

Check live token usage and copy the optimized prompt with 1 click.

Key Features & Capabilities

Claude XML Tag Standard: Wraps context in official Anthropic <system>, <context>, and <instructions> tags.

Cursor .cursorrules Export: Formats project guidelines ready for immediate import into Cursor and Windsurf editors.

Real-time Token Counter: Instant token estimation and cost projections for GPT-4o and Claude 3.5 Sonnet.

Automatic Fluff Removal: Strips HTML comments, normalizes excessive line breaks, and trims trailing whitespace.

100% Client-Side Privacy: Your proprietary code and documents never leave your browser sandbox.

Pro Tips & Best Practices

•Place system instructions before context blocks and reference context variables explicitly in your instructions for maximum LLM adherence.

Frequently Asked Questions

Why should I use XML tags for Claude prompts?

Anthropic explicitly recommends using XML tags like <context> and <instructions> to prevent prompt injection and help Claude clearly separate background data from user commands.

How accurate is the token estimator?

The estimator utilizes standard BPE character-to-token heuristic ratios (~3.8 characters per token), providing an accurate 95%+ approximation of actual OpenAI and Anthropic token counts.

Are my sensitive code files sent to any server?

No. MarkdownKite is 100% client-side. Everything executes purely in your browser's local memory.

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