Getting Started with AI

Welcome to AI development with Forge! This guide will walk you through the essential steps to get started with AI-powered applications. Whether you're new to AI or an experienced developer, this guide will help you set up your first AI integration and start building intelligent features.

Prerequisites

Before you begin, make sure you have:

• A Forge account with access to AI features
• Basic knowledge of web development (HTML, CSS, JavaScript)
• Familiarity with API integrations
• An understanding of your AI use case

Quick Start Guide

Step 1: Choose Your AI Service

Forge supports integration with multiple AI services:

• OpenAI: GPT models for text generation and conversation
• Google AI: Machine learning and natural language processing
• Azure Cognitive Services: Microsoft's AI platform
• Custom Models: Your own trained AI models

Step 2: Set Up API Keys

To use AI services, you'll need to obtain API keys:

1. Sign up for your chosen AI service provider
2. Generate API keys from your service dashboard
3. Store your API keys securely in Forge environment variables
4. Never commit API keys to version control

Step 3: Configure Environment Variables

Set up your AI service credentials in Forge:

1. Navigate to your site's environment settings
2. Add your AI service API keys as environment variables
3. Use descriptive names like OPENAI_API_KEY or GOOGLE_AI_KEY
4. Test your configuration in the development environment first

Step 4: Create Your First AI Integration

Start with a simple AI integration:

1. Choose a simple use case (e.g., text generation, content summarization)
2. Set up the basic API connection
3. Implement error handling and rate limiting
4. Test your integration thoroughly

AI Integration Examples

Basic Text Generation

Here's a simple example of integrating OpenAI's GPT model:

// Example: Basic text generation with OpenAI
const response = await fetch('https://api.openai.com/v1/chat/completions', {
    method: 'POST',
    headers: {
        'Authorization': `Bearer ${process.env.OPENAI_API_KEY}`,
        'Content-Type': 'application/json'
    },
    body: JSON.stringify({
        model: 'gpt-3.5-turbo',
        messages: [
            { role: 'user', content: 'Generate a brief summary of AI development.' }
        ]
    })
});

const data = await response.json();
const generatedText = data.choices[0].message.content;

AI-Powered Search

Implement intelligent search functionality:

// Example: AI-powered search integration
async function aiSearch(query) {
    const searchResults = await performSearch(query);
    const aiEnhanced = await enhanceWithAI(searchResults, query);
    return aiEnhanced;
}

Best Practices

AI Integration

Follow these best practices when integrating AI:

• Start with simple AI features and gradually increase complexity
• Implement proper error handling for AI service failures
• Use caching to improve AI response times
• Monitor AI usage and costs
• Ensure AI features are accessible and inclusive

Data Management

Handle data responsibly when working with AI:

• Follow data privacy regulations and best practices
• Implement proper data security measures
• Use anonymized data when possible
• Document your data handling procedures

User Experience

Design AI features with users in mind:

• Make AI features intuitive and easy to use
• Provide clear feedback when AI is processing
• Allow users to opt out of AI features
• Test AI features with diverse user groups

Testing Your AI Integration

Unit Testing

Test your AI components:

• Mock AI service responses for testing
• Test error scenarios and edge cases
• Validate input/output formats
• Test performance under load

Integration Testing

Test the complete AI workflow:

• Test end-to-end AI functionality
• Verify API key configuration
• Test error handling and recovery
• Validate user experience

Next Steps

Now that you've set up your first AI integration:

• Explore advanced AI features and capabilities
• Learn about AI service-specific integrations
• Discover AI development tools and resources
• Join the AI community for support and collaboration
• Experiment with different AI use cases