[DOC] - New AI Documentation

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SignalWire AI Documentation and Course Plan

General Documentation

Platform Overview

• What is SignalWire AI?
• Platform capabilities
• Implementation methods (UI vs SWML)
• Cost structure
• Security and compliance basics

Progressive Course Path

Course 1: AI Agent Fundamentals

Understanding AI Agents

• Basic concepts and terminology
• Types of AI interactions
• Capabilities and limitations

First Steps with SignalWire AI

• Platform navigation
• Creating a basic AI Agent
• Simple conversation flows

Introduction to Prompt Engineering

• Basic prompt structure
• Simple variables
• Testing basics

Course 2: Conversation Design Essentials

Prompt Engineering Foundations

• Components of effective prompts
• Context management basics
• Basic error handling

Building Natural Dialogues

• Conversation flow basics
• Simple multi-turn conversations
• Basic personality and tone

Testing and Iteration

• Basic testing methods
• Common issues and fixes
• Simple optimization

Course 3: Advanced Prompt Engineering

Complex Prompt Structures

• Advanced variable handling
• Dynamic content generation
• Context switching

Conversation Flow Mastery

• State management
• Advanced error recovery
• Edge case handling

Advanced Testing

• Systematic testing approaches
• Performance optimization
• Quality assurance

Course 4: AI Agent Intelligence

Enhanced Conversation Capabilities

• Intent recognition
• Entity extraction
• Memory management

Advanced Features

• Multilingual support
• Sentiment analysis
• Dynamic response generation

Integration Basics

• Simple API connections
• Basic data handling
• Webhook fundamentals

Course 5: System Integration

Data Management

• Complex data handling
• Storage patterns
• Privacy implementation

External Systems

• Advanced API integration
• Database connections
• Authentication patterns

Monitoring and Logging

• Analytics setup
• Performance tracking
• Debug logging

Course 6: Production and Scale

Deployment Strategies

• Production preparation
• Scaling considerations
• Performance optimization

Advanced Monitoring

• Complex metrics
• Alert systems
• Cost optimization

Maintenance and Updates

• Update strategies
• Problem resolution
• Continuous improvement

Course 7: Industry Solutions (Optional Advanced Course)

Specialized Implementations

• Customer service solutions
• Virtual receptionist setup
• Appointment systems

Custom Features

• Industry-specific prompts
• Specialized workflows
• Custom integrations

Case Studies

• Real-world implementations
• Success metrics
• Lessons learned

Course Features

Each Course Includes

• Prerequisites from previous courses
• Learning objectives
• Hands-on exercises
• Knowledge checks
• Project assignments
• Implementation examples

Learning Path Benefits

1. Clear progression from basic to advanced concepts
2. Each course builds on previous knowledge
3. Practical exercises increase in complexity
4. General reference material separated from courses
5. Optional advanced course for specific applications
6. Consistent skill building throughout

Learner Outcomes

1. Start with fundamentals
2. Progress at their own pace
3. Build practical skills progressively
4. Reference documentation as needed
5. Choose specialization paths
6. Apply concepts in real-world scenarios ****