Topic
Studying goes faster when a concept is explained in plain language and broken into something you can actually review. This collection has prompts for exactly that: turning a textbook chapter into a plain-English explanation, generating flashcards from a set of notes, and building a study plan ahead of an exam with realistic milestones. They're designed for students at any level and any subject — just swap in your topic or notes using the {{variable}} fields. Every prompt is free to use and reuse, so you can build a repeatable study routine instead of writing a new prompt from scratch each time you sit down to work.
38 prompts · page 4 of 5
Builds a practice test directly from your own pasted notes for a specific grade, subject, and upcoming assessment, drawing questions only from the material you provide rather than inventing new content. Best used as a final review step once your notes are already well-organized, letting you test recall and understanding of exactly what you've studied before the real assessment.
Runs a fast 10-question quiz on a chosen subject, asking questions one at a time and reporting your final score at the end. For each wrong answer it explains why you were incorrect, and for each right answer it adds a bonus fact to deepen your understanding, making it a quick, low-stakes way to gauge how close you are to mastering a topic.
Designs a classroom activity for a given grade and subject that mirrors how a specific professional role actually uses generative AI, built around a named standard, an AI-literacy skill, and scaffolds you specify. - Inputs: grade, subject, standard, professional role, AI's role for that profession, literacy skill, scaffold to include - Output: a professionally grounded scenario with learning outcomes - Includes assessment criteria and reflection questions - Built for teachers who want AI literacy, not just AI usage
Has an AI acting as your course professor grade your own uploaded essay against the rubric you provide, evaluating it against the specific essay prompt and course level, identifying real strengths, and giving specific, actionable suggestions for improvement without ever rewriting the essay for you. Built for getting honest, rubric-anchored feedback on a draft before submission, not a substitute for revising it yourself.
Translates a set number of sentences you provide into emoji-only versions, instructed to preserve the original meaning and roughly the same length rather than picking one loosely related icon per sentence. Works well as a playful warm-up activity in a language or writing class, testing whether students can decode meaning conveyed purely through symbols.
Drafts a single SMART-format speech and language therapy goal for a specific target skill and grade-level student, written by an AI acting as an expert speech-language pathologist. - Inputs: the skill being targeted, the student's grade level - Output: one goal spelling out specific, measurable, achievable, relevant, and time-bound parameters - Useful for therapy documentation - Also usable directly for IEP goal writing
Puts the AI in a Socratic tutor role that guides you toward understanding a specific aspect of an assignment topic by asking questions one at a time instead of handing you a finished answer, tailored to your grade level or major and stated learning goals. Built for situations where you want to actually learn the underlying concept behind an assignment, not just get it completed faster.
Breaks a complex, multi-part topic into the smallest possible logical steps, pausing after each one to have you explain it back before the AI introduces the next piece, tailored to your subject, prior knowledge, and preferred learning style. Useful for topics with many interconnected parts — like systems, processes, or proofs — where trying to absorb everything at once leads to confusion rather than understanding.
Diagnoses why hours of studying aren't translating into confidence, by comparing your current study methods against what the material actually demands and how you'll be assessed. - Inputs: topic, subject, methods used, time invested, confidence concerns, assessment type - Output: an analysis of the mismatch between method and material - 3-4 targeted techniques matched to the actual cognitive demands - A structured plan with built-in progress checks before the real test