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AI vocabulary for founders
AI vocabulary for founders is the short list of terms you actually need - model, prompt, agent, token, automation - explained in plain English, not jargon.
TL;DR
You do not need a technical glossary to use AI tools well - you need a dozen terms explained in plain English so the conversation stops feeling like a foreign language. This page is a founder's cheat sheet: the words you will actually hear, defined by what they mean for your business rather than by textbook precision. Model, prompt, token, agent, automation, and a few others. The goal is not to make you technical. It is to remove the vocabulary barrier so you can focus on getting results, not decoding acronyms.
Half of what makes AI feel intimidating is the vocabulary. People throw around words that sound technical, and it seems like you must learn a language before you can start. You do not. A founder needs a handful of terms, explained by what they mean for a business rather than by strict definition. Here is that short list, in plain English.
The core terms you will actually hear
- Model - the underlying AI that powers a tool. Think of it as the engine; different models are stronger at different jobs.
- Prompt - the instruction you give the tool. A clear prompt is just a clear brief for a helper who cannot read your mind.
- Token - roughly a chunk of text the tool reads or writes. It mostly matters because usage and cost are often measured in tokens.
- Context - the information the tool has in front of it right now. Give it the right context and answers improve; overload it and they get muddy.
- Agent - an AI that acts, not just answers - taking a goal and doing the steps to reach it.
- Automation - connecting your apps so a task runs itself, often with an AI step for the fuzzy parts.
A few more that come up
- Hallucination - when a tool states something confidently that is not true. It is why you verify anything important.
- Fine-tuning - adjusting a model to be better at a specific job. Most founders never need to do this themselves.
- Integration - connecting one tool to another so they can share information.
- No-code - building software by describing it rather than programming it.
How to use this cheat sheet
- 1Do not memorize it. Skim it once so the words stop feeling foreign.
- 2Come back when you hit a term in the wild and want a plain-English meaning.
- 3Notice that most terms describe simple ideas dressed in technical clothes.
- 4Spend your energy on results, not vocabulary - the words are just a means to build.
Why this is enough
You will meet plenty of deeper technical terms, and you can safely ignore almost all of them. The words above cover the everyday conversation about AI tools in a business. Knowing them removes the barrier that stops people from starting, and starting is the only thing that actually builds understanding. Vocabulary is the door, not the room.
Where the club fits
The Business Builders Club teaches AI tools in plain English, defining terms only as you need them on real work, so vocabulary never becomes the wall between you and a shipped result - with a community that speaks founder, not jargon.Frequently asked questions
Do I need to learn technical AI vocabulary?
Only a handful of terms, and only in plain English. Model, prompt, token, context, agent, and automation cover most everyday conversation about AI tools in a business. You can safely ignore deeper technical jargon.
What is an AI model in simple terms?
The underlying AI that powers a tool - the engine under the hood. Different models are stronger at different jobs, but as a founder you mostly just pick the tool and let it use an appropriate model.
What is a token and why does it matter?
Roughly a chunk of text the tool reads or writes. It matters mainly because usage and cost are often measured in tokens, so it is worth knowing the word when you look at how a tool is priced.
What is a hallucination?
When a tool confidently states something that is not true. It is the reason you verify anything important before acting on it, especially numbers, facts you will publish, or legal-sounding claims.
Should I memorize these terms?
No. Skim them once so they stop feeling foreign, then come back when you hit one in the wild. Most describe simple ideas dressed in technical clothes - the vocabulary is just a door to building.
Where can I learn AI without the jargon?
The Business Builders Club teaches AI tools in plain English, defining terms only as you need them on real work, with a community that speaks founder rather than jargon.
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