| # File: agents/topic_agent.py | |
| import json | |
| class TopicAgent: | |
| def generate_outline(self, topic, duration, difficulty): | |
| # In production: Replace with actual LLM API call | |
| return { | |
| "topic": topic, | |
| "duration": f"{duration} hours", | |
| "difficulty": difficulty, | |
| "goals": [ | |
| f"Master advanced {topic} techniques", | |
| "Develop industry-specific applications", | |
| "Build and evaluate complex AI workflows", | |
| "Implement best practices for production" | |
| ], | |
| "modules": [ | |
| { | |
| "title": f"Fundamentals of {topic}", | |
| "duration": "30 min", | |
| "learning_points": [ | |
| "Core principles and terminology", | |
| "Patterns and anti-patterns", | |
| "Evaluation frameworks" | |
| ] | |
| }, | |
| { | |
| "title": f"{topic} for Enterprise Applications", | |
| "duration": "45 min", | |
| "learning_points": [ | |
| "Industry-specific use cases", | |
| "Integration with existing systems", | |
| "Scalability considerations" | |
| ] | |
| } | |
| # Additional modules would be generated here | |
| ] | |
| } | 
