AI Glossary
Plain-English definitions of the most important AI terms — from prompts and personas to agents, RAG, and fine-tuning. No jargon, no fluff.
AI Persona
A detailed character profile given to an AI model that defines its name, personality, tone, expertise, and behavioral constraints.
AI Skill
A packaged, reusable AI prompt or set of prompts designed to perform a specific task reliably and consistently.
System Prompt
A special set of instructions given to an AI model before a conversation starts, used to define its behavior, role, tone, and constraints.
Prompt Engineering
The practice of designing and refining text inputs (prompts) to get the best possible outputs from AI language models.
AI Agent
An AI system that can autonomously take actions, use tools, and complete multi-step tasks without constant human guidance.
LLM
Large Language Model — a type of AI trained on vast amounts of text to understand and generate human language.
Prompt Pack
A curated collection of related prompts bundled together to cover multiple aspects of a single workflow or use case.
RAG
Retrieval-Augmented Generation — a technique that enhances AI responses by retrieving relevant documents and feeding them as context.
AI Template
A pre-structured document or prompt with placeholders that can be quickly filled in to produce a specific type of content or output.
Fine-tuning
The process of further training a pre-trained AI model on a specific dataset to improve its performance on a particular task or domain.
Hallucination
When an AI model generates factually incorrect information with apparent confidence, "making up" details that aren't true.
Token
The basic unit of text that AI models process — roughly equivalent to a word or word fragment. AI usage is typically measured and billed in tokens.
AI Workflow
A structured sequence of AI-powered steps designed to automate or accelerate a recurring business process from start to finish.
Zero-shot Prompting
A prompting technique where you ask an AI to perform a task without providing any examples, relying solely on the model's training.
Chain-of-Thought
A prompting technique that instructs an AI to reason step-by-step before giving a final answer, improving accuracy on complex tasks.