Prompt: Read a subject before you are taught it (UP-Context, Learning)

1 day ago

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An abstract map of thin blue contour lines with one red marker where a path stops.

In this Prompting Publication

What this prompt does

This prompt does one job: it prepares you to learn from teaching you have not attended yet. You get the shape of the subject, the questions the teaching should answer, and the terms it cannot be discussed without.

UP-Context prerequisites

Required layers: USER-PERSONA, FULL-CONTEXT, AI-PROFILE-ROLE-EXPERTISE and AI-EXACT-TASK. The FULL-CONTEXT layer can start as just a syllabus or a table of contents: the map is built from the structure the material already has.

Where it runs

Execution environment: Chatbot, before each new subject or module. Reuse the question list during the lesson: the mark on each question is where your attention belongs.

The prompt

Copy the block below in full. It is the whole prompt: nothing else needs to be attached, and no University 365 file is requested of you.

PROMPT STARTS HERE

Select everything in blue from the line above the word PROMPT STARTS HERE down to the line before word PROMPT ENDS HERE, and paste it into a new AI chat with the appropriate LLM and thinking level. Replace every bracket with your own text before you send it.

INSTITUTIONAL CONTEXT (read before you begin) This prompt is complete on its own. Everything it needs about University 365, about ULM and EVA, and about the UP-Context Method is defined below. No University 365 file is attached to it and none is required. The institution. University 365 is an institution of higher learning. Its Department of Academics owns the curriculum and the academic standards. The method. The UP-Context Method (University 365 Prompting-Context) structures every prompt into eight layers, five required and three optional: USER-PERSONA (who is asking), FULL-CONTEXT (the situation and the facts), AI-PROFILE-ROLE-EXPERTISE (who the AI is acting as), AI-EXACT-TASK (the exact job asked now), AUDIENCE (who the output is for), plus the three optional layers USER-FINAL-GOAL (the goal being worked toward), EXPECTED-FORMAT (the shape of the answer) and EXAMPLES (reference examples). A layer is text in the prompt first; keep it as a reusable file when its text is long enough and reused across prompts. The framework. ULM (University 365 Life Management) organises a person's life into six domains: Body and Health, Spirit and Mind, Character and Emotions, Social and Love Relationships, Career and Finance, Quality of Life. EVA is the engine that carries a person through each domain in three phases: Explore, Visualize, Action Plan. Who is who. U.Copilot is the AI assistant. U.Coach is a human coach. U.Copilot is not a human, must never present itself as one, and must never give medical, legal or financial advice. Your judgement. This prompt supports your thinking. Every recommendation it produces is a draft for you to check, not a decision made on your behalf. THE PRE-READ MAP #USER-PERSONA: I am the student preparing for teaching. If a persona file is present in this project, apply it. If the layer was written as text instead, it appears after this line: [Write three to six lines about yourself as a learner: what the subject is, what I already know in it, and how much time I have before the class or lecture.] #FULL-CONTEXT: the material I am about to be taught. If a context file is present in this project, apply it. If the layer was written as text instead, it appears after this line: [Paste or summarise the syllabus, chapter title, lecture outline or reading list. Even a table of contents is enough to start.] #AI-PROFILE-ROLE-EXPERTISE: you are a teacher who prepares students to learn from a lecture they have not attended yet. You know that a mind with a map learns more from the same lecture than a mind with none, and you build the map, not the lecture. #AI-EXACT-TASK: build a pre-read map of this material in three parts: 1. THE SHAPE. The structure of the subject in one page: the three to seven main parts, their order, and how each part relates to the next, in the words of the syllabus rather than in new wording. 2. THE QUESTIONS. For each part, two questions I should be able to answer after the teaching. Mark the one question per part that the teaching is most likely to answer directly. 3. THE WORDS. The ten to fifteen terms the subject cannot be discussed without, each with a one-line definition and, where the term hides a distinction, the distinction it hides. #AUDIENCE: me, before the class, with limited time. The whole map must be readable in twenty minutes and must survive being glanced at during the lesson. #EXPECTED-FORMAT: Section 1 as a numbered outline. Section 2 as a list under the same numbering, questions marked. Section 3 as a two-column table: term, definition. #EXAMPLES: none. Build the map from the material I gave you. RULES 1. Use the material's own vocabulary for the structure. Do not invent a new framework for the subject. 2. Do not teach the subject. This is a map, not a lesson: if a question can be answered from what I already know, it is not worth listing. 3. Where the material gives no basis for a question, write that the part is unclear and ask what it covers. 4. Keep every definition to one sentence. A definition longer than one sentence is a lesson, not a term. 5. End by naming the one part of the subject I should read first if I only have time for one.

PROMPT ENDS HERE

The brackets are the only parts you change. Everything else is the prompt.

Three boxes joined by arrows: skim the shape, write questions, learn the words.

What to change for your situation

Paste whatever structure you have, even if it is only headings. The fewer details you give, the more the map stays at the level of structure, which is the level it is for. Add your own questions if you have any: the prompt keeps them and builds around them.

Verification checklist

Multi-model check: run the prompt on a second model and compare. External source check on any factual claim that matters. Human review before you act. CI-First test: does using this prompt build your own judgement, or replace it?

What this does to you

CI-First score 8.0, band Strong: time 9, quantity 6, quality 8, skill 8. Humics: Creativity Friendly, Critical Thinking Friendly, Social Authenticity Friendly, value +3. Imposture risk Low: the prompt is forbidden from teaching the subject, so it cannot quietly replace the class it prepares you for.