Category 1: Cognitive Boosting Prompts (Conceptual Understanding)
These prompts activate schema building like a transformer model pretraining on masked tokens.
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Simulate a conversation where [concept] is trying to explain itself to a confused student.
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Generate a mental model of [topic] using only shapes and analogies.
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Translate [scientific/literary/historical] topic into an algorithm with clear input, process, and output.
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If [concept] were a subroutine in an AI system, describe its function, parameters, and edge cases.
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Deconstruct [complex theory] as if debugging a neural net—where’s the confusion “loss” coming from?
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Visualize [topic] as a data pipeline from raw knowledge to real-world application.
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Compress [concept] into a tweet-length summary without losing key meaning (simulate extreme token efficiency).
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Simulate a knowledge distillation process—explain [topic] like a teacher training a smaller model.
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Frame [idea] in a game-theoretic context: What are the players, moves, and strategies?
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If your brain were fine-tuned on just this subject, what custom dataset would it need?
Category 2: Metacognitive Prompts (Study & Self-Learning)
These simulate reinforcement learning with reward-maximizing learning habits.
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Design a daily study loop using RL principles: state, action, reward, repeat.
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Prompt a reflection log: “What concept gave you highest loss (confusion) today?”
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What input data (books, podcasts, people) would increase your model accuracy for this subject?
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Generate spaced repetition prompts for [topic] like a smart flashcard engine.
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If your focus level were a dataset—what are the outliers and noise? How do we clean it?
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Construct a loss function that penalizes procrastination and rewards deep focus.
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Simulate a “study attention classifier” – what activities get labeled as “productive” or “distracting”?
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Write a prompt to future-you: “What did I do today that my smarter version is grateful for?”
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Assign confidence scores to your knowledge on a scale of 0–1 like a probability output.
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If your study strategy were a machine learning model—what would you optimize: speed, accuracy, or consistency?
Category 3: Knowledge as Narrative (Creative Reasoning)
These prompts imitate generative models building meaning through narrative sampling.
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Describe [concept] as a sci-fi origin story where it becomes sentient.
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Turn your revision notes into a screenplay where the concepts are characters at war or alliance.
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Build an alternate universe where [topic] was never discovered—what changes in society?
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Write a first-person narrative from inside a black hole, explaining [physics concept].
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Create a TikTok script explaining [topic] with humor and visual metaphors.
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Translate a dense textbook page into a mystery story—who hid the meaning and how is it uncovered?
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If your essay could talk, what argument would it beg you to fix or strengthen?
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Imagine GPT-6 is writing a research paper on you as a student—what would it highlight?
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Write a poem where each stanza explains a part of [difficult theory].
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Generate a “choose your own adventure” quiz where each path teaches a sub-concept of [topic].
Category 4: STEM Neural Stretching (Math, Science, and Systems Thinking)
These simulate architectural thinking in systems design and symbolic reasoning.
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Reconstruct this math equation as a flowchart with logic gates.
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Frame [physics process] as a state machine—define the states and transitions.
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If this chemical reaction were a distributed system, where’s the latency?
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Build a function in pseudocode that models [real-world scientific phenomenon].
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Model a biology process using object-oriented design—what are the classes and methods?
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Explain a concept using a variable and constraint map like in optimization problems.
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Imagine atoms negotiating with each other—what deal do they make to form this compound?
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Simulate time complexity for a natural process: How efficient is photosynthesis?
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If gravity had a GitHub README, what would be its usage, parameters, and limitations?
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Design a data visualization to make [complex concept] easy to learn in under 60 seconds.
Category 5: Career, Communication & Future-Proofing
These train human-AI co-pilots for long-term value alignment, career clarity, and communication skill.
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Write a LinkedIn summary for yourself based on your dream future self.
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Design a GPT-like chatbot trained only on your experiences—what skills would it learn?
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If you had to “fine-tune” your personality for leadership, what new data would you need?
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Reverse engineer your favorite role model’s success into a sequence of prompts.
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Write a rejection email to your biggest distraction, respectfully breaking up with it.
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Simulate an interview where each question is a test for your self-awareness as a learner.
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Design your life as an app with modular features: what’s in v1.0 and what’s on the roadmap?
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Imagine your resume written by an AI that only observed your habits—not your grades. What’s on it?
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Generate 3 unique startup ideas combining your favorite subject and AI.
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What values do you want your “mental operating system” to run on? Write them as if they’re environment variables.