AI Writing Fundamentals
Large language model (LLM)
A type of AI trained on vast text data to predict and generate language. Tools like Conch use LLMs to assist with drafting, editing, and studying.
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Search-friendly definitions for the ideas students and writers run into every day: detectors, rewriters, false positives, citations, study tools, and responsible AI workflows.
99 terms
AI Writing Fundamentals
A type of AI trained on vast text data to predict and generate language. Tools like Conch use LLMs to assist with drafting, editing, and studying.
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AI systems that create new text, images, or audio from prompts rather than only classifying existing data.
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The instruction or question you give an AI model. Clear prompts usually produce clearer, more useful output.
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The practice of structuring prompts to get better, more consistent results from AI writing tools.
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Using AI to support brainstorming, outlining, drafting, editing, or revising while the writer keeps final control.
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An initial version of text produced with AI help that a writer then reviews, edits, and personalizes.
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The amount of text an AI model can consider at once when generating a response.
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A small unit of text—often a word fragment—that language models process and count for usage limits.
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A model setting that controls randomness. Lower values are more predictable; higher values are more creative.
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Software that estimates whether text was likely written by AI, a human, or a mix of both.
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When a detector incorrectly flags human-written or lightly edited text as AI-generated.
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When a detector fails to identify text that was largely AI-generated.
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A percentage or rating a detector assigns to how likely it thinks text is AI-written.
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A machine learning model trained to sort text into categories such as human vs. AI.
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Embedding hidden signals in AI-generated text so detectors or platforms can identify its origin.
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Processes and tools used to confirm who created a piece of writing and how it was produced.
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Writing that combines human ideas with AI-generated sentences, edits, or structural suggestions.
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The cutoff score above which a detector labels text as likely AI-generated.
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A tool that refines AI-assisted text to sound more natural, varied, and aligned with a user's voice.
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Rewriting text in different words while preserving meaning—used for clarity, tone, or originality.
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Keeping a writer's personal tone, vocabulary, and rhythm when AI rewrites or polishes text.
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Variation in sentence length and rhythm. Natural writing often has more burstiness than formulaic AI text.
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A measure of how predictable text is. Some detectors use low perplexity as a signal of AI generation.
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Editing text for smooth readability without changing the underlying facts or argument.
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Changing formality, confidence, or style—such as academic, casual, or professional—in rewritten text.
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Changing sentence order, paragraph flow, or transitions while keeping the same ideas.
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Revising AI-assisted drafts for clarity, authenticity, and natural voice so the final work reflects the writer's thinking.
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A concise claim that tells the reader what an essay or paper will argue or explain.
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A section that summarizes and synthesizes existing research relevant to your topic.
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Evaluation of academic work by experts in the field before publication.
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Honest, ethical scholarship—including proper attribution, original thinking, and transparent AI use.
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Using someone else's words or ideas without proper credit. AI-assisted writing still requires attribution.
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Restating a source in your own words while crediting the original author.
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Original material such as studies, interviews, or historical documents used as evidence.
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Analysis or summary of primary sources, such as textbooks or review articles.
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Shaping an assignment to meet grading criteria for structure, evidence, and clarity.
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A formatting system—such as APA, MLA, or Chicago—for crediting sources consistently.
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A brief reference within the body of a paper that points to a full source entry.
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A list of all sources consulted or cited in a research project.
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A permanent digital identifier assigned to many academic articles and books.
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A source list with short notes explaining each source's relevance and credibility.
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How trustworthy a reference is based on author expertise, publication, and evidence quality.
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The focused question a paper or project aims to answer through evidence and analysis.
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Combining ideas from multiple sources into a coherent argument rather than listing quotes.
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A tool that helps find, format, and manage references for academic or professional writing.
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A study technique that reviews material at increasing intervals to improve long-term retention.
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Testing yourself on material from memory rather than passively rereading notes.
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A visual diagram that connects concepts around a central topic to show relationships.
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A collection of question-and-answer cards used for memorization and review.
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A note-taking format with cues, notes, and summary sections for structured review.
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Mixing different topics or problem types during study instead of blocking one subject at a time.
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Learning by pulling information from memory, often through quizzes or self-testing.
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A schedule that allocates time for review, practice, and new learning across subjects.
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Using diagrams, maps, and charts to understand and remember complex information.
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The field of AI focused on understanding, generating, and transforming human language.
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Numerical representations of words or sentences that capture semantic meaning for AI models.
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Condensing a longer text into a shorter version that keeps the main points.
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Rewriting complex text in clearer language while preserving important details.
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How closely two pieces of text match in meaning, even if the wording differs.
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Identifying people, places, organizations, and dates within text automatically.
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Detecting whether text expresses positive, negative, or neutral attitudes.
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Automatic conversion of text from one language to another using AI models.
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Producing useful output from a model without task-specific fine-tuning on examples.
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In-app currency used across Conch tools such as Write, Study, Rewrite Mode, and Chat.
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Conch's rewriting feature that improves clarity, tone, and readability while preserving meaning.
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Conch's human-controlled rewriting feature that refines AI-assisted drafts for clarity, tone, and natural voice.
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Uploading a file and asking Conch questions grounded in that document's content.
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Conch's connected workflow of notes, flashcards, mind maps, and planners from the same source material.
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A browser add-on that brings Conch writing and study tools into your everyday workflow.
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Conch's research and essay assistant for drafting, citing, and structuring academic work.
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Conch feature that turns documents into conversational audio for learning on the go.
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Using Conch to brainstorm, draft, cite, revise, and study with the user in control.
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A school or organization's rules about when and how students may use AI tools.
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Disclosing when AI helped with brainstorming, drafting, editing, or formatting.
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Keeping a person responsible for reviewing, correcting, and approving AI output.
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Depending on generated text without understanding, verifying, or learning the material.
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Ensuring students with different resources can use AI tools fairly and responsibly.
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How a platform collects, stores, and protects user documents and personal information.
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Refining text for clarity and voice while maintaining honest authorship and following institutional guidelines.
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The skill or knowledge an assignment is meant to develop, which AI use should support—not replace.
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Actions such as dishonesty or undisclosed outsourcing that violate school honor codes.
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The repeatable steps from research and outline to draft, revision, and final submission.
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How quickly you produce an initial version—often faster with AI-assisted outlining and drafting.
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A dedicated round of editing focused on structure, clarity, evidence, or tone.
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Handling multiple documents or sections in one session to save context-switching time.
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A reusable prompt structure for recurring tasks like email replies, summaries, or essay outlines.
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Keeping track of draft iterations so you can compare changes or revert if needed.
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Working in a distraction-free environment during deep writing or study sessions.
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Extra time built into a schedule for unexpected revisions or research gaps.
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The minimum standard—clarity, accuracy, citations—before submitting or publishing work.
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A writing workflow where AI helps with clarity, structure, citations, and revisions while the user stays in control of the final work.
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A collaborative approach where a student or professional brings the ideas and judgment, and AI supports drafting, editing, studying, and polish.
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A case where an AI detector incorrectly labels human-written or lightly AI-assisted writing as AI-generated.
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Writing support that helps users produce clear, original, human-controlled work through better drafting and revision.
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A popular AI detection tool used by educators to estimate whether student writing may be AI-generated.
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Turnitin's feature that flags writing patterns associated with generative AI alongside traditional plagiarism checks.
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Software focused solely on rewriting text without broader writing, studying, or citation support.
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A document analysis showing overlap with existing sources or signals of AI-assisted writing.
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Software that helps with grammar, structure, citations, rewriting, or drafting during the writing process.
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