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AI explained, without the hype.

Short, factual pages on the concepts that actually matter, so you can choose your tools in full knowledge of what they do and do not do.

What Are Agent Skills?

Agent skills, popularly called Claude skills, are reusable AI instruction recipes stored as SKILL.md files. One goal, one output, portable across agents. Learn how they work and why they matter.

What Is MCP?

MCP, the Model Context Protocol, is the open standard that lets AI agents call real-world tools (Gmail, Notion, GitHub) in a standardized way. Learn what MCP means, what an MCP server is, how it works, and why it matters.

How Does AI Work?

How does AI actually work? Tools like ChatGPT and Claude run on an AI engine, a large language model, in the cloud. Learn how these engines work, how Claude, GPT, and Gemini differ, and why the engine is only the bottom layer.

What Is Agentic AI?

Agentic AI does not just answer, it acts: plan, call a tool, observe, repeat. Learn what agentic AI is, how an agentic workflow works, real examples, and where the agentic layer fits in your stack.

What Is an LLM?

What does LLM mean? LLM stands for large language model, the technology behind ChatGPT and Claude. Here is a plain-English explanation of what it is, how it guesses the next word, and what it cannot do without your help.

What Is the Cloud?

What is the cloud, and what is cloud computing? The cloud is just someone else's computer, running in a data center far away. Here is how it works, and what it really means for your files, your privacy, and who sets the rules.

What Is a Knowledge Base?

A knowledge base is the set of documents and context you give an AI so it actually knows your world. It is the difference between a generic answer and a useful one, and it is the real asset you build.

What Is an AI Agent?

An AI agent does not just answer questions, it takes action: it uses tools, follows steps, and gets a task done. Here is the beginner-friendly difference between a chatbot and an agent.

What Is Local AI?

Local AI means running the model, a local LLM, on your own computer instead of the cloud. Nothing you type leaves your machine. Here is what it is, how to run AI locally, why it matters for privacy, and the trade-offs.

Is AI Bad for the Environment?

How much energy and water does AI really use, and is it bad for the environment? An honest look at the footprint of AI, and the green providers running open source models on renewable energy.

What Is an MCP Server?

An MCP server is a small program that exposes tools and data to an AI agent through the Model Context Protocol. Here is what an MCP server is, how it works, popular examples (filesystem, GitHub, Slack), and how to add one, no code required.

How to Run an LLM Locally

A plain guide to running an LLM locally on your own computer. Pick a tool (Ollama or LM Studio), choose a model that fits your RAM, install it in three steps, and know when local is enough and when the cloud still wins.

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