From basic prompting to multi-agent AI systems
Prompt engineering fundamentals
Mastering AI Communication Through Strategic Prompting
The foundation: basic task definition and role-based prompting. Learn how clarity, constraints, purpose, and structure shape AI outputs — then unlock specialized expertise through roles.
Teaching AI by Example - The Most Powerful Prompt Engineering Technique
Master the art of teaching AI through examples. Learn one-shot, few-shot, contrastive, chain-of-thought, and meta-learning techniques to unlock precise, consistent outputs from any prompt.
How unstructured thinking cost a consulting firm their biggest client
Master structured thinking and chain-of-thought prompting techniques. From basic step-by-step breakdowns to recursive deepening, dialectical analysis, and systems thinking — learn how to force AI models to show their reasoning for dramatically better results.
Multi-pass, verification, and chaining
From good prompts to production-grade AI workflows
Recap of Lessons 1-4 foundations, then four advanced techniques — Plan-Execute, Multi-Role Analysis, Multi-Tier Verification, and Chaining — taught through real company workflows: release notes, migration guides, incident response, code review, pricing pages, PR pipelines, and customer onboarding.
What .claude/ gives you — and why it matters
Tour the .claude/ directory: CLAUDE.md hierarchy, settings.json permissions, permission modes, MCP servers, and auto-memory. The platform foundation you need before building skills and agents.
What to protect, what to restrict, what to never share
Threat models, data classification, the 8 security principles, and hands-on settings.json hardening. The security foundation for using AI tools responsibly in a team.
Skills, agents, and multi-agent orchestration
From crafting prompts to packaging them
Turn your best prompts into permanent, reusable slash commands. Five progressive skill examples — from simple instructions to model override — plus three case studies and a hands-on exercise.
From Prompts to AI Systems
Build multi-agent AI systems with isolated specialists, deterministic hooks, and parallel teams. The capstone lesson connecting prompt engineering to system architecture.