AI Jargon Decoded: 10 Terms You Keep Hearing Explained in Plain English

AI has its own language, and it can feel like everyone else already knows it. Here are ten common terms, explained the way a knowledgeable friend would explain them.

AI:

The name for software that can read what you write, understand what you mean, and respond with something useful. Not a robot, not magic. Just a very capable computer program that has learned, from enormous amounts of text, how to communicate in plain language.

Generative AI:

A specific type of AI that creates new things rather than just finding existing ones. Ask it to draft a proposal, summarize a document, or write ten social posts, and it produces something original each time, based on what you asked for.

Prompt:

What you type into an AI tool to tell it what you need. Think of it as your instruction to a very fast, very capable assistant. The more specific your prompt, the more useful the result.

Agent:

An AI that can carry out a series of steps on your behalf, not just answer a single question. Rather than responding once and waiting, it can work through a multi-step task from start to finish.

Machine Learning:

The process most AI tools use to develop their abilities. The system is exposed to enormous amounts of data, and through that process it learns to recognize patterns and produce useful responses. You do not need to understand how it works to get real value from it.

Hallucination:

When an AI confidently gives you information that turns out to be wrong. It is not lying, it is more like a very persuasive guess. This is why a person should always check AI output before acting on it, especially for anything factual or important.

Large Language Model (LLM):

The technology underneath most of the popular AI tools you have heard of. It has been trained on enormous amounts of written text, which is how it learned to understand and respond in plain language. ChatGPT is one well-known example built on this type of technology.

Copilot:

A name several technology companies use for their AI assistant products. Microsoft uses it for the AI built into Word, Excel, and Outlook. The name is meant to signal that AI works alongside you, not instead of you.

Workflow:

The sequence of steps involved in completing a task or process. In an AI context, it often refers to a series of connected steps set up to run automatically. Getting your key workflows right is one of the clearest ways AI saves time at work.

Automation:

When a process runs on its own without someone manually triggering it each time. You define the steps once, and it runs. AI makes automation more flexible because it can handle tasks that do not follow a perfectly predictable pattern.

If you want help making sense of what AI can actually do for your business, Promptly offers a free Discovery Call to talk it through.

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