AI Development Assistant

Intelligent AI prompt generation for API integration

AI Development Assistant

Streamline your API development workflow with our intelligent prompt generation system that creates comprehensive integration instructions for AI development tools.

How It Works

When browsing API endpoints in our documentation, you'll find a "AI Prompt" button next to each endpoint title that automatically generates detailed, ready-to-use prompts for AI development tools like Claude, ChatGPT, and Perplexity.

Smart Button Integration

Our AI Development Assistant adds intelligent prompt generation buttons to every API Reference page:

1. Navigate to any API Reference endpoint page
2. Look for the "🤖 AI Prompt" button next to the endpoint title
3. Click the button to automatically generate and copy a comprehensive integration prompt
4. Paste the prompt into your preferred AI development tool:
   • 💬 ChatGPT
   • 🤖 Claude
   • 🔍 Perplexity

Generated Prompt Features

Each AI-generated prompt includes:

🎯 Endpoint Details

• HTTP method and complete URL
• Endpoint description and functionality
• Authentication requirements

🔐 Authentication Guide

• Correct header format (access-token, not Bearer tokens)
• Proper request structure
• Security best practices

💻 Code Examples

• cURL commands with proper syntax
• Request and response examples
• Error handling patterns

🏗️ Implementation Requirements

• Production-ready code guidelines
• Error handling for all HTTP status codes (200, 400, 401, 403, 429, 500)
• Rate limiting implementation
• Response validation and parsing
• TypeScript type definitions
• Comprehensive documentation

🚀 Development Best Practices

• Framework-agnostic implementation guidance
• Security considerations
• Performance optimization tips
• Testing strategies

Supported Frameworks & Languages

The generated prompts are designed to work with any programming language or framework. Common implementations include:

• JavaScript/TypeScript: fetch, axios, Node.js
• Python: requests, httpx, aiohttp
• PHP: cURL, Guzzle
• Java: HttpClient, OkHttp
• C#: HttpClient, RestSharp
• Go: net/http, resty
• Ruby: Net::HTTP, Faraday

API Authentication

All generated prompts include proper authentication instructions for the Anysite API:

# Correct authentication format
curl -X POST "https://api.anysite.io/api/endpoint" \
  -H "access-token: YOUR_API_KEY" \
  -H "Content-Type: application/json"

The Anysite API uses access-token headers, not Bearer token format. Generated prompts always include the correct authentication method.

Getting Started

1. Navigate to any API Reference page
2. Find the "🤖 AI Prompt" button next to the endpoint title
3. Click the button to copy the generated prompt
4. Paste the prompt into your preferred AI development tool
5. Get production-ready implementation code

Example Generated Prompt

Here's what a typical generated prompt looks like:

# Anysite API Integration Task

I need to integrate the **/linkedin/email/user** endpoint from the Anysite API into my application.

## Endpoint Details
- **Method**: POST
- **URL**: https://api.anysite.io/api/linkedin/email/user
- **Description**: Find LinkedIn users by email address

## Authentication Requirements
The Anysite API uses access token authentication (NOT Bearer tokens):

Headers:
access-token: YOUR_API_KEY
Content-Type: application/json

## Request Example
curl --request POST \
  --url https://api.anysite.io/api/linkedin/email/user \
  --header 'Content-Type: application/json' \
  --header 'access-token: <access-token>' \
  --data '{
  "timeout": 300,
  "email": "example@gmail.com",
  "count": 5
}'

## Expected Response
The API returns a JSON response with comprehensive user profile data including:
- User identification and profile URLs
- Contact information (emails, phone numbers)
- Professional details (headline, skills, connections)
- Personal information (birth date, location, pronouns)
- Verification status and follower counts

## Implementation Requirements
Please provide a complete, production-ready implementation that handles authentication, 
request formatting, error handling, rate limiting, and response parsing.

Advanced Features

Intelligent Context Detection

The system automatically detects:

• HTTP methods from DOM content
• Request/response examples from code blocks
• Parameter requirements from documentation
• Response schemas from API specifications

Multi-Language Support

Generated prompts include guidance for:

• Type-safe implementations
• Language-specific best practices
• Framework-specific patterns
• Error handling conventions

Troubleshooting

If the "AI Prompt" buttons don't appear:

1. Refresh the page - The feature loads dynamically after Mintlify renders the API content
2. Check browser compatibility - Modern browsers with JavaScript enabled required
3. Disable ad blockers - May interfere with dynamic script loading
4. Wait for page load - Buttons appear after the API documentation fully loads
5. Check API Reference pages - Feature only works on dynamically generated API endpoint pages