layer-definitions

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.