AI Terms, Without the Jargon
Key AI terms explained in plain language. No jargon, no fluff.
AI products throw around terms like LLM, context window, tokens, and BYOK as if everyone already knows what they mean. Most people do not. This glossary explains the terms that actually matter when you are choosing models, comparing apps, or deciding how to pay for AI on your Mac.
The goal is practical understanding, not textbook definitions. Each entry focuses on what the term means, why it matters, and where it shows up in real product decisions.
BYOK
Understand when bringing your own API key saves money and when Pro is simpler.
OpenRouter
See how Chapeta connects to hundreds of models through one provider layer.
AI Agent
Learn the difference between chat, tools, and multi-step task execution.
OpenRouter
A unified API gateway that provides access to hundreds of AI models through a single endpoint.
Read definition →BYOK (Bring Your Own Key)
Use your own API key for AI model access. Your usage is billed directly to your provider account.
Read definition →LLM (Large Language Model)
AI systems trained on massive text datasets that can understand and generate human language.
Read definition →AI Agent
An AI system that can take actions in the real world using tools, not just generate text.
Read definition →API Key
A unique authentication token that identifies your account when making requests to an API.
Read definition →Context Window
The maximum amount of text an AI model can process in a single conversation turn.
Read definition →Prompt Engineering
The practice of crafting effective instructions to get better results from AI models.
Read definition →Token
The basic unit of text that AI models process. Roughly 3/4 of a word in English.
Read definition →Fine-Tuning
Training a pre-existing AI model on specialized data to improve performance on specific tasks.
Read definition →