AI terms in plain English
No jargon. Just clear, honest definitions of the AI terms you actually need to know.
AI (Artificial Intelligence)
Software that can perform tasks that typically require human intelligence — like writing, analyzing data, recognizing images, or making decisions. In a small business context, AI usually means tools like ChatGPT or Claude that help you write and communicate faster.
Example: Using ChatGPT to draft a customer email is using AI.
ChatGPT
An AI writing assistant made by OpenAI. You type a question or task in plain English, and it generates a response. It's the most widely used AI tool in the world and has a free plan.
Example: "Write a Google review reply for my bakery" → ChatGPT produces a ready-to-use reply.
Claude
An AI assistant made by Anthropic. Similar to ChatGPT but tends to produce more thoughtful, nuanced responses — especially for longer documents and analysis tasks. Also has a free plan.
Example: Uploading a contract to Claude and asking it to summarize the key terms.
Prompt
The text you type into an AI tool to tell it what you want. A good prompt includes context about your business, what you need, who it's for, and any constraints (word count, tone, format).
Example: "Write a 3-sentence Instagram caption for my salon's new balayage service. Tone: fun and inviting."
Hallucination
When an AI generates information that sounds confident and plausible but is factually incorrect. This happens because AI predicts likely words rather than looking up facts. Always verify factual claims in AI output.
Example: AI might cite a study that doesn't exist or state incorrect business hours for a competitor.
LLM (Large Language Model)
The technology behind tools like ChatGPT and Claude. An LLM is trained on massive amounts of text and learns to predict what words should come next. This is what allows it to write emails, answer questions, and generate content.
Example: GPT-4 (used in ChatGPT) and Claude are both large language models.
Fine-tuning
The process of training an AI model on specific data to make it better at a particular task. Most small businesses don't need to fine-tune anything — the general-purpose tools work well as-is.
Example: A large company might fine-tune an AI model on their customer service transcripts to improve automated responses.
Token
The unit AI uses to measure text length. Roughly, 1 token equals about 4 characters or ¾ of a word. AI tools have token limits that determine how much text they can process in one conversation.
Example: The sentence "How are you today?" is about 6 tokens.
Agentic AI
AI systems that can take multiple steps to accomplish a goal — not just answer a single question. An AI agent can browse the web, use tools, make decisions, and complete workflows on its own.
Example: Telling an AI agent to "research my top 5 competitors and summarize their Google reviews" — it does all the steps automatically.
Natural Language Processing (NLP)
The branch of AI that deals with understanding and generating human language. It's why you can type a request in plain English and get a useful response — no coding or special syntax needed.
Example: When ChatGPT understands "write me a friendly email," that's NLP at work.
API (Application Programming Interface)
A way for software to talk to other software. AI APIs let developers build AI features into their own apps. As a small business owner, you probably won't use APIs directly — you'll use tools that are built on top of them.
Example: Tidio's chatbot uses AI APIs behind the scenes to answer customer questions on your website.
Generative AI
AI that creates new content — text, images, audio, or video — rather than just analyzing existing content. ChatGPT, Claude, Canva AI, and Midjourney are all generative AI tools.
Example: Asking Midjourney to create a product photo that doesn't exist yet is generative AI.
Machine Learning
A type of AI where software improves by learning from data rather than being explicitly programmed. All modern AI writing tools use machine learning — they learned to write by analyzing billions of examples.
Example: QuickBooks AI learns to categorize your transactions more accurately over time based on your corrections.
Training Data
The text, images, or other data used to teach an AI model. ChatGPT and Claude were trained on large amounts of internet text, books, and articles. The quality and breadth of training data affects what the AI knows and how it writes.
Example: AI can write about restaurants because its training data included restaurant reviews, menus, and food articles.
AI Bias
When AI produces outputs that reflect unfair assumptions or stereotypes from its training data. This can show up as gendered language in job postings or demographic assumptions in marketing copy. Always review AI output for bias.
Example: An AI-generated job posting that uses language that unintentionally discourages certain applicants.
Chatbot
An AI-powered feature on a website that answers visitor questions automatically. Modern AI chatbots can understand natural language and provide helpful responses based on your FAQ content.
Example: A chatbot on your website that answers "What are your hours?" without you being online.
Prompt Engineering
The skill of writing effective prompts to get better results from AI tools. For small businesses, this doesn't need to be complicated — just be specific about what you want, who it's for, and any constraints.
Example: Instead of "write an email," writing "write a 3-sentence follow-up email to a customer who visited my salon last week, friendly tone."
Open Source AI
AI models whose code is publicly available for anyone to use, modify, or build on. Examples include Meta's Llama models. Most small businesses won't interact with open source AI directly — they'll use polished tools built on top of these models.
Example: Some smaller AI tools are built on open source models like Llama rather than OpenAI's GPT.
Context Window
The amount of text an AI can "remember" in a single conversation. A larger context window means you can have longer conversations or paste longer documents. Most free plans have smaller context windows than paid plans.
Example: If you paste a 50-page document into an AI with a small context window, it might not be able to read the whole thing.
Temperature
A setting that controls how creative or predictable AI responses are. Higher temperature = more creative and varied. Lower temperature = more focused and consistent. Most tools set this automatically.
Example: A creative writing task might use higher temperature, while a factual FAQ answer might use lower temperature.