AI Glossary for Authors

An AI agent is software that can plan and complete multi-step tasks on its own, not just answer questions.

AI bias is when a model produces skewed or stereotypical outputs based on patterns in its training data.

AI copyright covers the legal questions around who owns content created with AI tools.

AI credits and usage allowances set how much AI generation a plan includes, what each task consumes, and when extra use costs more.

AI disclosure is the practice of being transparent about how AI was used to create content.

AI ethics is the field concerned with the moral implications of artificial intelligence, from bias to copyright.

AI memory keeps selected facts or preferences available across sessions; it differs from the current context window and document retrieval.

AI voice cloning creates a synthetic replica of a real person's voice from a short audio sample.

AI-assisted writing uses AI tools to help with brainstorming, drafting, or editing while the author stays in creative control.

AI-generated content is text, images, or audio created primarily by an AI model.

An API is how AI writing tools like Sudowrite connect to models like GPT-4 and Claude behind the scenes.

Artificial intelligence (AI) refers to computer systems that perform tasks normally requiring human thinking.

BYOK (bring your own key) means using your own AI API key with a writing tool instead of paying the app's built-in AI fees.

A chatbot is an AI program that converses with users in natural language. ChatGPT and Claude are chatbots authors use for brainstorming, drafting, and editing.

Commercial-use terms explain when you may use an AI service or its outputs in paid books, client work, advertising, and other business projects.

Connected-app permissions define which linked account data an AI tool can read or change, and when it asks before acting.

A content filter automatically screens AI input and output for prohibited material.

The context window is how much text an AI model can process at once. It determines how much of your manuscript a tool can hold in memory during a session.

A deepfake is AI-generated fake video, audio, or images designed to look real.

Diffusion models generate images by refining noise, as in Stable Diffusion and DALL-E 2.

Fair use is the legal doctrine that allows limited use of copyrighted material without permission.

Fine-tuning is the process of specializing a general AI model for a specific task, like matching a particular writing style or genre.

A foundation model is a general-purpose AI trained on massive data that gets adapted into specific tools. GPT-4 and Claude are foundation models authors use.

Generative AI creates new text, images, and audio instead of just analyzing existing data.

Guardrails are built-in safety rules that prevent AI models from generating harmful content.

An AI hallucination is when a model generates confident but false information, like citing a book that doesn't exist.

A large language model (LLM) is the AI technology behind ChatGPT, Claude, and Sudowrite.

Machine learning is how AI systems improve by learning from data instead of following fixed rules. It drives the writing tools authors rely on daily.

Model alignment is the process of training AI to follow human values and instructions.

Multimodal AI can process and generate text, images, and audio together.

Natural language processing (NLP) is how computers learn to read, interpret, and generate human language. It's the core technology behind every AI writing tool.

A neural network is a computing system loosely inspired by the human brain. It powers the AI writing and image tools that authors use every day.

On-device AI runs directly on your computer or phone instead of sending data to the cloud.

An open-source AI model has freely available code and weights anyone can use or modify.

A prompt is the text you type into an AI tool like ChatGPT or Claude.

Prompt engineering is the skill of writing effective AI instructions.

Reference images give an image model visual guidance for a new generation or edit, but do not guarantee an exact copy or consistent identity.

Retrieval-augmented generation (RAG) lets AI look up real information before responding, cutting down on hallucinations.

A small language model (SLM) is a compact AI that runs on everyday devices like laptops and phones.

Speech-to-text (STT) converts spoken words into written text using AI. Authors use it to dictate manuscripts, transcribe interviews, and draft faster.

Style transfer is when AI rewrites content in a different voice, tone, or format while keeping the meaning intact.

A system prompt is a hidden set of instructions that shapes how an AI behaves. It's why the same model can act like a writing coach or a copy editor.

Temperature is the AI setting that controls how creative or predictable a model's output is.

Text-to-image AI generates pictures from written descriptions. Tools like Midjourney and ChatGPT help authors create book covers, character art, and more.

Text-to-speech (TTS) converts written text into spoken audio using AI voices. Authors use TTS for proofreading, audiobook narration, and accessibility.

A token is a fragment of text that AI models use to process language. Understanding tokens helps authors manage costs and context limits in writing tools.

Training data is the massive collection of text used to teach AI models how language works.

The transformer is the neural network architecture behind ChatGPT, Claude, and most modern AI writing tools.