Tutorials for teams building with AI.

Step-by-step guides on MCP servers, Claude agents, workflow automation, and the infrastructure underneath practical AI systems.

The three phases of AI deployment

A practical model for moving from workflow audit to pilot build to controlled rollout without forcing every engagement into the same timeline.

Strategy

LLM retrieval and grounded answers

How retrieval-augmented generation works in practice: chunking, embedding, retrieval ranking, and keeping answers tied to source documents.

RAG

Claude Skills vs MCP: when to use each

Skills package how Claude should do something; MCP grants access to do it. A practical guide to choosing between the two and when you need both.

Skills