Teaching & Training Layer

Learning Paths & Course Tracks

Three guided paths by skill level, plus five role-based course tracks.

Guided Learning Paths

Start Here โ€” Pick Your Level

Role-Based Tracks

5 Course Tracks

๐Ÿ›๏ธ

Founder Track

planned
Founders, ecosystem architects, strategic decision makers

Why agent engineering matters strategically. Governance, leverage, and platform direction.

Topics
01Why agent engineering changes the game
02Strategic implications of always-on AI systems
03Governance as competitive advantage
04Platform vs. tool: the Claude Code lesson
05Building agent-native organizations
๐Ÿ”จ

Builder Track

planned
Engineers, AI workflow builders, platform developers

Hands-on deep dive into memory, hooks, skills, subagents, and agent harnesses.

Topics
013-layer memory architecture
02Lifecycle hooks and quality gates
03Skill packaging and distribution
04Subagent patterns: Fork, Teammate, Worktree
05Context compaction strategies
06Multi-agent coordination (Coordinator Mode)
07NightOps and background daemon design
08Tool architecture and permission models
โš™๏ธ

Operator Track

planned
Claude Code users, workflow operators, project managers

Workflow execution, prompt discipline, maintaining project rules, using skills and memory effectively.

Topics
01Setting up project memory correctly
02Writing effective CLAUDE.md rules
03Using hooks for operational quality
04Skill invocation and customization
05Session management and context hygiene
06Working with subagents effectively
๐Ÿ“š

Student-Friendly Track

planned
Students, AI learners, curious beginners

What AI agents are, why memory matters, how reusable workflows work, how systems learn from repetition.

Topics
01What are AI agents? (beyond chatbots)
02Why does memory change everything?
03How reusable workflows save time
04What 'always-on' AI means
05How AI systems learn from repetition
06The ethics of AI transparency
๐Ÿ›ก๏ธ

Governance Track

planned
Compliance, audit, risk management, policy makers

Lawful study boundaries, V5.3 mapping, permissions, quality gates, operational risk control.

Topics
01Lawful study boundaries in AI research
02V5.3 governance framework mapping
03Permission models and access control
04Quality gate implementation
05Operational risk in agent systems
06Anti-distillation and IP protection awareness
07Attribution policy for AI-generated content
๐ŸŽฎ

Game AI Engineering Track

planned
Game designers, narrative engineers, AI game developers

How to build AI-driven game systems: procedural narrative, adaptive difficulty, information asymmetry, deception modeling, and authentication mechanics. Focused on m595 COMPASS patterns.

Topics
01Information asymmetry as core game mechanic
02Moral weight design โ€” decisions with real consequences
03Procedural narrative from domain knowledge graphs
04Adaptive difficulty via AI policy engines
05Deception layer modeling (3 types: misinfo, impersonation, signal)
06Authentication challenge design from real protocols (ISOPREP/EPA)
07Time-pressure decision systems
08Resource scarcity psychology and tension design
09FROZEN_LAWS โ€” architectural invariants in game design
10The 60/40 rule: bot verification (60%) + human verification (40%)
๐Ÿ“š

Knowledge Pipeline Track

planned
Knowledge engineers, research architects, data pipeline builders

Build production knowledge pipelines: source normalization, agent-driven compilation, quality gates, structured feeds, and cross-project export chains.

Topics
01Six-layer anti-lock-in architecture (m590 pattern)
02Source normalization: heterogeneous inputs โ†’ standard format
03Agent-driven knowledge compilation (Hermes/Claude)
04Quality gate engineering: trust, confidence, freshness, consistency
05JSONL feed protocol for streaming data transfer
06Obsidian wiki output with backlinks and graph view
07Conflict detection: annotate, don't overwrite
08Freshness decay and auto-recompile policies
09Skill export: knowledge โ†’ m495 6-file skill packages
10Pipeline status levels: ACTIVATED โ†’ PROVEN โ†’ INDUSTRIAL
๐Ÿช–

CSAR Domain Knowledge Track

planned
Game content designers, military simulation builders, domain specialists

Deep dive into Combat Search and Rescue domain knowledge that powers m595 COMPASS: doctrine, authentication, evasion, communication, and cultural intelligence.

Topics
01CSAR five-phase doctrine (report โ†’ locate โ†’ authenticate โ†’ support โ†’ recover)
02Authentication protocols: ISOPREP, EPA, challenge/response
03Signal authentication under deception conditions
04Theater geography and terrain analysis
05Cultural intelligence and human terrain
06Coalition force coordination challenges
07Medical triage under fire (TCCC)
08Escape and evasion route planning (PACE)
09Radio communication protocols and signal discipline
10Deception detection: misinformation, impersonation, signal manipulation