# Choice Blocks Example # Demonstrates AI-selected branching based on runtime criteria # Simple choice based on analysis let analysis = session "Analyze the current codebase quality" choice **the severity of issues found**: option "Critical": session "Stop all work and fix critical issues immediately" context: analysis session "Create incident report" option "Moderate": session "Schedule fixes for next sprint" context: analysis option "Minor": session "Add to technical debt backlog" context: analysis # Choice for user experience level choice **the user's technical expertise based on their question**: option "Beginner": session "Explain concepts from first principles" session "Provide step-by-step tutorial" session "Include helpful analogies" option "Intermediate": session "Give concise explanation with examples" session "Link to relevant documentation" option "Expert": session "Provide technical deep-dive" session "Include advanced configuration options" # Choice for project approach let requirements = session "Gather project requirements" choice **the best development approach given the requirements**: option "Rapid prototype": session "Create quick MVP focusing on core features" context: requirements session "Plan iteration cycle" option "Production-ready": session "Design complete architecture" context: requirements session "Set up CI/CD pipeline" session "Implement with full test coverage" option "Research spike": session "Explore technical feasibility" context: requirements session "Document findings and recommendations" # Multi-line criteria for complex decisions let market_data = session "Gather market research data" let tech_analysis = session "Analyze technical landscape" choice *** the optimal market entry strategy considering both market conditions and technical readiness ***: option "Aggressive launch": session "Prepare for immediate market entry" context: [market_data, tech_analysis] option "Soft launch": session "Plan limited beta release" context: [market_data, tech_analysis] option "Wait and iterate": session "Continue development and monitor market" context: [market_data, tech_analysis] # Nested choices for detailed decision trees let request = session "Analyze incoming customer request" choice **the type of request**: option "Technical support": choice **the complexity of the technical issue**: option "Simple": session "Provide self-service solution" context: request option "Complex": session "Escalate to senior engineer" context: request option "Sales inquiry": session "Forward to sales team with context" context: request option "Feature request": session "Add to product backlog and notify PM" context: request