Learning Paths & Course Tracks
Three guided paths by skill level, plus five role-based course tracks.
Start Here โ Pick Your Level
Understanding AI Agents
Start here if you're new to agent engineering. Learn what makes Claude Code different from a chatbot, and understand the core patterns.
Agent Architecture Deep Dive
For engineers who want to understand the full architecture. Covers memory, hooks, subagents, context management, and multi-agent coordination.
Production Agent Systems
For architects building production agent systems. Covers always-on daemons, cloud planning, security patterns, and governance.
5 Course Tracks
Founder Track
plannedWhy agent engineering matters strategically. Governance, leverage, and platform direction.
Builder Track
plannedHands-on deep dive into memory, hooks, skills, subagents, and agent harnesses.
Operator Track
plannedWorkflow execution, prompt discipline, maintaining project rules, using skills and memory effectively.
Student-Friendly Track
plannedWhat AI agents are, why memory matters, how reusable workflows work, how systems learn from repetition.
Governance Track
plannedLawful study boundaries, V5.3 mapping, permissions, quality gates, operational risk control.
Game AI Engineering Track
plannedHow to build AI-driven game systems: procedural narrative, adaptive difficulty, information asymmetry, deception modeling, and authentication mechanics. Focused on m595 COMPASS patterns.
Knowledge Pipeline Track
plannedBuild production knowledge pipelines: source normalization, agent-driven compilation, quality gates, structured feeds, and cross-project export chains.
CSAR Domain Knowledge Track
plannedDeep dive into Combat Search and Rescue domain knowledge that powers m595 COMPASS: doctrine, authentication, evasion, communication, and cultural intelligence.