Plain-English AI setup, no jargon tax_
Most "AI setup" content is written by people who already know what an MCP server is. These pages are not that. Read these if you are trying to figure out which tool to use, what a skill actually does, or why your AI assistant feels broken. Honest comparisons, opinionated takes, and definitions in human language.
Start here if you are new
Four explainers that cover the vocabulary you will run into the moment you start configuring any AI tool. Read them in any order.
What is MCP?
Model Context Protocol explained without the jargon. The standard that lets Claude (and others) talk to your data and tools.
Read →Skills vs MCPs
Two different things, often confused. Skills shape how the model behaves. MCPs give it real things to do. You usually want both.
Read →Agent harness explained
Why the same model feels brilliant in Claude Code and frustrating in another tool. The harness is doing most of the work you cannot see.
Read →How to set up Claude skills
A working step-by-step for installing skills in Claude Code — file layout, frontmatter, invocation, the things that usually break.
Read →ChatGPT for business
Most teams pay for ChatGPT and use 10% of it. A practical, no-hype guide to what actually works, where it breaks, and when to bring in help.
Read →Already shopping for a tool?
Three honest comparisons for the matchups that come up most often. No "they are both great" hedging — each page picks who should use which.
Cline vs Cursor
VS Code agent extension vs full IDE fork. Both call themselves "AI coding tools." They are not the same job.
Compare →Claude Code vs Codex
Anthropic's terminal agent vs OpenAI's. Different models, different defaults, different sweet spots.
Compare →OpenClaw vs Claude Code
The community-extensible Claude Code fork vs the original. When the fork is worth it.
Compare →Read everything and still not sure?
The pages here cover the concepts. They will not pick the stack for your specific team, codebase, or workflow. That part is a conversation. Tell the duck what you are trying to do, what you have tried, and what is broken — you will leave with a clear next step, not another tab to read. If what you really need is someone to own the AI toolchain question for your company on an ongoing basis, that is the fractional AI lead offer.