Learning Roadmap
Progressive journey from foundation concepts to enterprise-ready AI agent systems
Context
⚪Prerequisites: AI terms and business context for building—skip if you're already familiar with AI terminology, architecture concepts, and strategic considerations.
AI History & Capability Reality Check
AI evolution and realistic capabilities
AI Problems & Pitfalls Business Leaders Must Know
Real failure modes and risk assessment
AI Terminology for Business Conversations
Essential vocabulary for vendor discussions
The Business Case for AI: Beyond the Hype
Financial frameworks and timeline expectations
Human-AI Collaboration: When to Keep Humans in Control
When AI leads vs when humans must control
When NOT to Use AI: Strategic Decision Framework
Know when alternatives are better
AI System Architecture: Scalability & Performance
Architecture options by business size
AI Availability & Reliability Engineering
SLA evaluation and failure planning
AI Security Architecture & Threat Models
Data protection and threat mitigation
AI Compliance & Governance Frameworks
Regulatory requirements and governance systems
Foundation
🟢Start here: Master AI-specific concepts and practices—tokens, context windows, agent templates, memory systems, and the fundamentals that make AI work reliably.
AI Co-Founder: Automate 80% of Ops Tasks for Busy Founders
Trade 80% of grunt-work for AI agents
Fix ChatGPT Random Responses: Master AI Reliability
Understand tokens & context windows
From Prompt Hacks to AI Business Systems That Scale
Move beyond prompt engineering
AI Agent Templates: Build Once, Deploy 100+ Times
Reusable agent templates save 2-3 hours daily
Business-Grade AI Prompts: Beyond Hacky Tricks
Structured, testable prompt systems
Teach AI Your Business: Memory & Context Systems
Give LLMs memory and business alignment
Fix Blind AI Agents: Context Systems That Work
Provide the right context without fancy tools
Build Your First AI Support Agent the Right Way
Build a helpful, safe AI support agent
GDPR-Compliant AI Agents: Privacy-First Development
Privacy-first architecture from day one
Measure AI Agent ROI: Run Proper Lift Studies
Measure real business impact with lift tests
Reduce AI Costs 70%: The 15-Minute Token Audit Guide
Track tokens, compare models, cut 30-70%
Chatbot vs AI Agent: 10x Cost Difference Explained
Economic framework for AI architecture
Building
🔵Build production systems—multi-agent coordination, monitoring dashboards, integration patterns, and the operational infrastructure for reliable AI applications.
AI Agent Hallucination: Detection, Measurement & Mitigation
Real-time detection & architectural mitigation
The 12 Habits Framework for Reliable AI Agents
Transform unpredictable agents into systematic, scalable systems
One Agent Is Never Enough—Design Your Crew
Parallel, sequential & RAG patterns
Integration Headache? 3 Plugs Cover 80% of Stacks
Snap-in CRM & help-desk adapters
Quality Drops Overnight? Build the Agent Dashboard
KPIs, alerts & human-escalation rules
Memory Bloat Slowing Responses? Trim Without Forgetting
Salience scoring & adaptive decay
Doc Dump ≠ Knowledge Base—RAG for Mere Mortals
Cited answers from Drive chaos
Agents That Learn While You Sleep
Nightly reflection loops & RL tweaks
Fear of Deploy? Blue-Green Your AI
Six-step rollback pipeline
Red-Team Your Own Agent (Before Twitter Does)
Adversarial ensembles find holes cheap
Budget Spiking? Live Cost Guard-Rails in 30 Lines
Runtime spend limiter
Self-Learning RAG Agents with Red-Team Testing
Build agents that learn and self-test nightly
Scaling
🟣Enterprise-ready scaling—compliance frameworks, cost optimization, federated learning, and platform architecture for sustainable AI businesses.
Enterprise Knocking? Compliance Can't Be Theatre
Four-layer enforcement blueprint
Your AI Sounds Over-Confident? Calibrate It
ECE ≤ 5% + hedging badges
Static Prompts Plateau? Reinforce or Die
PPO prompt-evolution loops
AWS Down Again? Multi-LLM Fail-Over Plan
Routing & redundancy
Serving Two Clients? Build Data Walls, Not Excuses
HIPAA/SOX-ready enclaves
Inference Bill Halved: Extreme Cost Engineering
Batch, cache, async
Let a Critic Agent Save Face Before a Customer Does
Critic/producer mode
Zero-Downtime Upgrades—Even for RL Models
Staged rollout harness
Auditors at the Door? Show an Immutable Trail
SOC-2 traces with OpenTelemetry
From Skills Consumer to Marketplace Seller
Package internal skills for sale
Share Learnings, Not Data—Federated Fine-Tuning
Cross-tenant privacy techniques
Enterprise AI Platform: Multi-Tenant SaaS & Marketplace
Build and launch enterprise-ready AI platform
Ready to Build Your AI Agent Team?
Start with Episode 0 and follow the complete learning journey from foundation concepts to enterprise-ready systems.