The AI Glossary: Every Tech Term You Need to Know (Explained in Plain Language)

We know this because we lived it. I was standing in my kitchen while my husband's friend was going on and on about AI, dropping acronyms and technical terms like everyone in the room should just know what they mean. I finally had to stop him and say, "You need to talk to me like I know nothing, because you're saying words and I have no idea what they mean. I can't even follow the conversation."

Sound familiar? (If you have been there, you know how isolating it can feel.)

After that, I started looking things up. Then I started listening to podcasts. Some of it made sense because I'd done the homework in the kitchen. And some of it was still a wall of jargon that kept me lost in the conversation.

If you don't know the basic language around a topic, there's no way to follow along and actually understand what people are talking about. We've seen this play out for years in our done-for-you website work. Words we thought were simple and obvious, like "CRM" or "email funnel," were completely foreign to our clients. When you don't know what something means, you can't picture it. And when you can't picture it, you definitely can't figure out how to use it in your business.

So we made this. A plain-language glossary of the AI and tech terms you keep hearing (or will hear), explained the way we'd explain them to a friend over coffee. We broke them into three groups based on how they kept coming up in real conversations: general AI terms you'll hear everywhere, Claude-specific terms (because that's what we use daily), and a translation guide for anyone switching from ChatGPT to Claude. No technical background required. Bookmark this, come back to it, and share it with someone who's been nodding along in AI conversations while secretly lost.

Quick note before you scroll. You don't need to memorize all of this right now. Some of these terms (like prompt, hallucination, and context window) you'll want to understand right away because they come up the second you start using any AI tool. Others (like terminal, JSON, and GitHub) are things you'll only run into if you start going deeper into building with AI. Think of this as a reference you can come back to when a new word pops up in a conversation or a podcast and you need a quick answer.

What Are the Most Common AI Terms I Should Know?

These are the foundational terms you'll hear in almost every AI conversation, regardless of which tool you're using. Once you understand these, the rest starts to click a lot faster.

LLM (Large Language Model) is the engine under the hood of every AI tool you're using right now. It was trained on billions of words and learned to predict what should come next. Kind of like your brain finishing someone's sentence for them. Claude is an LLM. So is ChatGPT.

Hallucination is when AI makes stuff up. It's not lying on purpose. It fills in the blanks confidently, even when it's wrong. Think of that one friend who always has an answer, even when they definitely should not. This is why you always fact-check AI output. Always.

Token is AI's unit of measurement. AI doesn't count in words. It counts in tokens. One token is roughly three-quarters of a word. This is how AI usage is measured and priced, and both what you type in and what AI sends back count as tokens. About 1,000 tokens equals 750 words.

Context window is AI's short-term memory. It's how much the AI can hold in its head during one conversation. Once you hit the limit, it starts forgetting what you said earlier. Think of it like a whiteboard that runs out of space. A longer context window means the AI can be more helpful for big projects. Every LLM has a different-sized context window. Claude is one of the larger ones right now, which means you can go back and forth in one chat for longer before it starts losing track.

RAG (Retrieval-Augmented Generation) is when AI goes and finds relevant information first, from your files, your docs, your data, and then answers based on what it found. Instead of only relying on what it learned during training, it pulls from your actual stuff. That means less guessing and more accuracy. This is how you make AI actually know your business and sound like you.

API (Application Programming Interface) is basically a handshake between two pieces of software. When your website sends a request to an AI tool and gets a response back, that's an API doing the work behind the scenes. You don't have to build one to understand that it helps make all this AI stuff possible.

OCR (Optical Character Recognition) is how software reads text from images or scanned documents. You take a photo of a printed page and OCR converts that image into actual readable, editable text that AI can work with. If you've ever tried to upload a scanned PDF and the AI couldn't read it, it probably needed OCR first. The good news is that many AI tools today (Claude included) can read images and scans directly using their vision capabilities. But if yours can't, you'd run it through an OCR tool first to convert it to searchable text, and then upload it. Adobe Acrobat and Google Drive both have OCR built in, and there are free options like OnlineOCR.net if you need something quick.

Parsing is how AI reads and makes sense of information. It breaks down a chunk of text or data into pieces a computer can understand and use. When AI reads a transcript and pulls out the key points, that's parsing in action. It happens every single time AI processes your input. 

JSON (JavaScript Object Notation) is a format for sending data between apps. It looks like a robot sneezed on your screen. It's really just a structured list of information that AI tools use constantly to pass data back and forth. You'll see it at some point. You don't have to write it.

GitHub is where developers store and share code. Think of it like Google Drive, but with a full record of every change ever made so you can always go back to an earlier version. You'll run into this if you start building AI-powered tools, especially Claude Code.

What Are the Key Claude-Specific Terms?

If you're using Claude (which we do, every single day), these are the terms that will help you understand what it can actually do for you and your business.

Prompt is simply what you type to get a response. Your words are your directions. The clearer your prompt, the better your output. A vague prompt gets you a vague answer. A specific prompt gets you something you can actually use. Prompting is a skill, and you'll get better at it fast.

System prompt is the set of behind-the-scenes instructions you give AI before a conversation even starts, so it already knows how to act, what tone to use, and what rules to follow. Think of it like briefing an assistant before a client call. You can't always see system prompts, but they shape everything.

Skill file is a saved set of instructions for Claude. It tells Claude exactly how to behave for a specific task, including your brand voice, your process, and your rules. Load it once and Claude works the way you want every time. This is honestly one of the most powerful things you can build to get Cluade to sound like you.

Scaffolding is the structure you build around AI so it behaves consistently. Instead of re-explaining yourself every time you start a conversation, scaffolding does the setup work for you. Skill files, system prompts, and templates are all forms of scaffolding.

Agentic is when AI stops just answering questions and starts actually doing things for you. Agentic AI can open tools, run tasks, make decisions, and complete multi-step work on its own. This was a big one for us. Once you understand this concept, you realize AI can be working on your business while you're taking the dog for a walk, driving your kids to soccer, or cooking a family meal. Claude Code and Cowork are both agentic tools. Claude created three Instagram carousels with 13 slides each to highlight these terms. It connected to MY Canva, used a template I started, and transferred all the words into each slide. THAT is an Agentic AI tool in real life. 

IMPORTANT* If you take one thing away from this section, let it be this: agentic AI means you can have AI assistants doing real work in your business while you're living your life. That's not a someday thing. That's a right now thing. And for business owners who've been sacrificing family time to keep up with marketing and content, OR you have been putting off marketing because family time is a priority (which it should be) this changes everything.

MCP (Model Context Protocol) is how Claude connects to your other tools. It's what lets Claude talk to Google Drive, ClickUp, Gmail, Canva and more. Instead of just chatting back and forth, Claude can actually do things inside your apps when you have MCP connected. This is where AI goes from helpful to genuinely life-changing. What if it could create your social media posts for you? (It can and it does!)

Artifact is something Claude creates for you inside the conversation. When Claude builds a document, a piece of code, or a webpage, it shows up in a side panel as an "artifact". Something you can use, save, or keep building on. Think of it as Claude handing you a deliverable.

Terminal is a text-based control panel for your computer. Instead of clicking buttons (like you click into a folder on your desktop, or click icons on your desktop to download things), you type commands inside the terminal to instruct it to do something. Developers use this because it gets the computer to act after vs having to click a series of buttons. You don't have to master it. But it's a word that gets thrown out there and something you will likely be instructed to use if you dive into Claude Code. (You DON'T use this with regular chat conversations)

Claude Code is a version of Claude that lives in your computer's terminal. It can actually write and run code on your machine. Not just suggest it. It can open files, make changes, and build things for you. This is for when you're ready to go beyond the chat window.

Cowork is Anthropic's desktop tool where Claude can actually click around your computer, open files, and help you with real tasks. Not just answer questions in a chat. It's like having an assistant who can do the thing, not just tell you how to do it. (If you have ever gotten tech support and had the tech assistant take over your computer screen, and you can see their mouse moving around and clicking on things? That's like Claude Co-Work, but it's AI doing it, not a person.)

How Is Claude Different from ChatGPT?

If you've been using ChatGPT and you're curious about Claude (or you've already made the switch), this section breaks down how the two compare. Same concepts, different names, different capabilities. And if you're actively thinking about switching, we wrote a full guide on how to transfer your information from ChatGPT to Claude.

Custom instructions vs. system prompt. ChatGPT's custom instructions are a little preference form where you share some basics about yourself. Claude's system prompt can be pages of rules, brand voice guidelines, personas, and processes. It's less "tell me about yourself" and more "here's your full briefing." This is where Claude starts to feel like a real team member.

Knowledge files vs. skill files. ChatGPT lets you upload files so it "knows" things about your business. Claude's skill files go further. They don't just store information. They tell Claude how to behave, including your brand voice, your workflows, your rules, and your output format. The difference is like giving someone a fact sheet versus actually training them on how to do the job, like you would a new employee.

GPTs vs. Projects. ChatGPT lets you build custom GPTs, which are basically saved versions of AI for a specific task. Claude has Projects, which are more like organized workspaces that keep different areas of your business separate. Think of it this way: you might have a social media Skill that tells Claude how to write your posts. That skill works everywhere. But if you have a Project for your podcast and a separate Project for your course launch, Claude knows which one to focus on based on which Project you're working in. It will follow your social content creator skill no matter what, but the Project tells it what to write about. In other words, the skill handles the how and the Project handles the what about.

Canvas vs. Artifacts. ChatGPT Canvas lets you edit AI output in a side panel. Claude Artifacts does that too, but it can also render live code, interactive tools, and working apps right inside the conversation window. It's not just a document editor. It's more like a mini browser.

Memory vs. context window. ChatGPT has a "memory" feature and tries to remember things about you across conversations. Claude works differently. It doesn't carry memory the same way by default, but its context window is massive. You control what it knows, and that's actually more powerful once you understand how to use it.

Plugins vs. MCP. ChatGPT plugins let the AI connect to outside apps. Claude's MCP (Model Context Protocol) does the same thing, but it's built as an open protocol. That means more tools, more flexibility, and it's being built out quickly. It's a more open ecosystem to allow tools to work together.

Operator vs. Claude's agentic tools. OpenAI's Operator can browse the web and take actions for you inside a browser. Claude's agentic tools, Claude Code and Cowork, work directly inside your computer and your files, not just a browser window. For actual business workflows, that tends to be more useful.

Do I Have to Be Technical to Use AI?

No. And we want to be really clear about that.

You don't need to know or understand code to build some seriously powerful things with AI. (That's actually what all the hype is about and why people are going crazy over it.) If you have an imagination and a vision for how you want something to work, you can explain it to an AI and it will create it for you. We've done this ourselves. We've explained what we wanted in plain language, and AI coded it, built it, and made it work.

What matters more than technical skills is being able to navigate your computer, open a web page, and follow instructions. And honestly, even more important than that is just being curious. Having the desire to search for answers and the willingness to learn.

If that's not you, and you'd rather not learn it, that's totally fine too. Then it becomes a matter of finding someone you trust to hire for it.

The real skill isn't knowing how to code. It's knowing what you want to build and being willing to describe it clearly. AI handles the rest.

What If I Feel Like I'm Already Behind on AI?

We totally feel you. More and more people are going to start feeling like the gap is getting bigger. AI can do so much now, and the tools are moving fast. If you're starting later, it's easy to feel like you'll never catch up.

A lot of people have been using ChatGPT to help write content for a year or two now, and many of them are still in beginner mode. Now that newer tools like Cowork and Claude Code have launched, the conversations are getting more advanced, and those conversations are only going to become more common.

But you don't have to jump to the deep end when you start. You can start simple. Use AI to help you generate content, write social posts, or draft emails. Then go a little deeper as you start to understand what it can really do. You don't need to know how to build an app with Claude Code tomorrow. You just need to take the next small step.

The most important thing is to not let yourself get overwhelmed by all the options. There's ChatGPT, Claude, Perplexity, Lovable, and more showing up every month. Find someone you trust who's sharing real, relevant information. Take in their content. Ask questions when you can. And take baby steps toward using something. We aren't experts in the field. We are just real users sharing in real time and likely only a handful of steps ahead.

And if you're wondering how AI fits into your website and marketing strategy, we also wrote about the website fixes that help AI recommend your business. Worth a read if you want AI to recommend your business.

Where Can I Keep Learning About AI in Plain Language?

This is exactly what we built The AI Advantage for. It's our weekly newsletter that drops every Sunday, and it's designed to help you learn about AI and use it effectively in your business without the overwhelming jargon.

Every week, we break down what's happening in AI, share tools and tips, and give you practical things you can actually use. If something in this post clicked for you and you want to keep that momentum going, subscribe to The AI Advantage and it'll land in your inbox every Sunday morning.

And if you want to go even deeper, our AI Advantage membership ($5.55/month) gives you access to extended tips and prompts from the newsletter, a free Claude skill or AI tool each month to help you work more efficiently, and up to 50% off everything in our AI Shop.

Whether you're just getting started or you've been experimenting for a while, we're having these conversations every week. And we'd love for you to be part of them.