Seven parts, 24 chapters: the 2026 model landscape; prompting and context; the full Claude stack (chat, Code, Cowork, Skills); AI image/design, video/voice, and document/spreadsheet/slide work; making AI work with your own data (RAG, embeddings, vector DBs, connectors, evals); automating without code (n8n/Zapier/Make, office-suite AI); orchestrating agents and computer-use; Antigravity and agentic IDEs; building and shipping apps (vibe coding → Vercel → API); AI cost economics; cost-cutting with Chinese models; self-hosting open-source models across cloud/local/on-device; AI safety, security and trust; AI for learning; and a capstone.
