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name: layer-definitions description: Provide L1-L5 pedagogy layer reference for the AI-Native Robotics Textbook. Use when assigning layers to content, understanding layer requirements, or validating layer progression. allowed-tools: Read

Layer Definitions

Instructions

When determining pedagogical layers:

1. Assess the content's AI involvement level
2. Match to the appropriate layer (L1-L5)
3. Ensure prerequisites from lower layers are met
4. Validate layer progression is logical

Layer Overview

| Layer | Name | AI Involvement | Student Role | |-------|------|----------------|--------------| | L1 | Manual | None | Full manual work | | L2 | Collaboration | Assisted | AI helps after understanding | | L3 | Intelligence | Templated | Using AI templates/skills | | L4 | Spec-Driven | Guided | AI generates from specs | | L5 | Full Autonomy | Autonomous | AI-driven end-to-end |

Layer Selection Guide

Choose L1 when:

• Teaching foundational concepts
• Student must understand without AI assistance
• Building mental models

Choose L2 when:

• Student understands the concept
• AI can provide extensions or variations
• Collaboration enhances learning

Choose L3 when:

• Teaching reusable patterns
• Introducing AI templates and skills
• Building on L1-L2 understanding

Choose L4 when:

• Working with specifications
• AI generates implementation from design
• Integration of multiple components

Choose L5 when:

• End-to-end autonomous workflows
• Student orchestrates AI agents
• Capstone projects

Reference

See layers.md for detailed layer descriptions.