A practical AI learning guide from a creator who's been through it — start with a specific problem, learn AI terminology like a baby, learn by doing, and find the right resources without information overload.
A jargon-free introduction to 8 core AI concepts — LLM (brain), Prompt (command), Agent (employee), Codex (coding specialist), Skill (SOP), Workflow (step sequence), API (connector), and Knowledge Base (filter) — explained through everyday analogies a beginner can grasp in one sitting.
A beginner-friendly guide to the 3-layer AI pyramid — LLM (brain), Multimodal (senses), Tools & Agents (skeleton) — plus how to build your own AI agent with Kouzi (Coze), no coding required.
A clear breakdown of the three core AI engineering concepts — Function Calling (microscopic action layer), Skills (mesoscopic module layer), and MCP (macroscopic integration layer) — with practical code examples.
Master essential AI concepts: Token, Context Window, Prompt, RAG, MCP, Agent, Workflow and more -- with practical commands and code examples for Claude Code.
Most developers equate AI with LLMs, leading to wasted tokens and high costs. This guide breaks down AI core concepts, token calculation, and practical optimization strategies.
A detailed breakdown of three core AI automation concepts — Agent, Skill, and Harness — with definitions, operational logic, and practical Python code examples.
ChatGPT vs Claude vs Gemini vs Perplexity vs Midjourney — which one do you actually need? A practical decision matrix based on what you're trying to do.
From model parameters and context windows to RAG and embodied intelligence — this guide breaks down 12 essential AI concepts in plain language with real-world examples.
ChatGPT Plus is $20/month. Claude Pro is $20/month. Midjourney is $10. Do you need any of them? Here's how to decide, based on what you actually use AI for.
NVIDIA is suddenly worth more than Google because of 'AI chips.' Here's what a GPU actually does, why AI needs thousands of them, and why you should care.