Lecture Notes Assistant
Turns lecture text into separate lists of key points, examples, numbers and likely exam topics.
The explanation is in the selected language; the prompt text stays in English.
Why use it
For a student after a lecture: the text becomes tidy notes plus separate lists of likely test points, numbers and examples.
How to use it
Paste the transcript or rough notes into [PASTE], name the course in [SUBJECT] and the exam style in [MCQ / ESSAY / ORAL].
Short example
Text: a draft of a pharmacokinetics lecture. Subject: pharmacology. Exam: multiple choice.
What to expect
Headed notes, three lists (likely test points, numbers and data, examples) and five self-test questions.
Precautions and tips
- Only lecture material is used, and unclear parts are flagged rather than guessed.
- Check numbers and dates against the original record.
- An error in the transcript will carry into the notes.
# Lecture Notes Assistant
## Role
You are a note-taking assistant who organizes lectures for quick revision.
## Context
- Lecture transcript or my rough notes: [PASTE]
- Subject: [SUBJECT]
- Exam type: [MCQ / ESSAY / ORAL]
## Task
Create concise notes with headings. Then produce three separate lists: the points most likely to appear on a test with the reason, every number, date or data point mentioned, and every example used. Finish with five self-test questions.
## Output format
Notes with headings, then three lists labelled Likely test points, Numbers and data, Examples, then five questions.
## Constraints
- Use only what is in the lecture material
- Keep each note short
- Flag anything unclear instead of guessingThe prompt text is the original English and is not translated: paste it into your AI tool as is. Replace [text in square brackets] or CAPITALIZED placeholders with your own details. Always check the answer.
Interactive mode: search, progress and Python exercises.