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As of 13 August 2026, AI can create a spaced repetition schedule for your exams.
Most people should do this themselves; the prompt is on this page.
Can you do it?
5 minutesto a draft.
15 minutesto something you’d act on.
Cost, all in£0
Skill neededchat-fluent
Who has to check ityou
What the alternative costsNo priced human alternative is provided in the available tool data.
If this goes wrong, the schedule may give too much time to familiar topics or create an unrealistic workload, but you can revise it before relying on it.
What to actually do
Do it yourself
The route this page recommends
A chat interface, chat-fluent skill, and roughly 15 minutes until you can act on the result.
How to actually do it
- Open your exam timetable and specification or course outline, then list each subject, paper, exam date and examinable topic in a single document.
- Rate your confidence in every topic as low, medium or high, and mark any topic where you have recent test results or completed past-paper questions.
- Write down the revision period, available study times, fixed commitments, preferred session length and resources such as flashcards, textbooks and past papers.
- Paste the information and the copyable prompt into ChatGPT, Claude or Gemini, then ask it to produce the dated schedule and flag missing information.
- Compare every scheduled topic and exam date against your timetable and specification, remove any session that clashes with a commitment, and check that the daily workload fits your available time.
- Put the confirmed sessions into your calendar or study app, then record your recall result after each session and ask the model to reschedule topics you repeatedly miss.
Prompt
Create a spaced repetition revision schedule for my exams using only the information I provide. Do not invent syllabus content, exam dates or available study time. Use these details: Exams and dates: [list each subject, paper and exam date] Exam board and specification, if known: [details] Topics to revise for each exam: [complete topic list] My confidence in each topic, from low to high: [topic and confidence] Today: [today's date] Study period ends: [last available revision date] Available study time: [days and time limits] Fixed commitments and unavailable periods: [details] Preferred session length: [details] Existing flashcards, question banks or past papers: [list] Produce: 1. A dated table of revision sessions, including the subject, topic, session length, activity and whether it is initial learning, active recall, practice questions or review. 2. A repeat pattern that revisits weaker topics more often and spaces out topics I recall successfully. 3. A short daily workload summary and a lighter buffer period before each exam. 4. A list of any topics, dates or constraints that are missing or contradictory. Keep every session within my stated availability. Do not claim that a topic is covered unless it appears in my supplied list. Make the plan practical rather than filling every available minute.
Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.
Use a tool built for this
Second choiceHand it to a person
The distant thirdA person who owns the outcome does this end to end, worth it when the failure is dear.
What it gets wrong
- It cannot know whether your topic list is complete unless you provide the correct specification or course outline.
- It cannot measure your genuine recall as reliably as you can through doing questions and marking them against an accurate answer.
- It cannot predict illness, family commitments, tiredness or other changes that make a planned session impractical.
- It may apply a tidy repetition pattern without understanding which topics are most important for your particular paper.
- It cannot replace the feedback from a teacher who has seen your written answers and knows the marking requirements.
Even on a YES, the friction has a name: context depth and judgement under ambiguity.
How we scored this
Five axes, each scored nought to two by hand: ten means AI carries the task cleanly, and the thresholds that turn a total into YES, PARTLY or NO are published in the methodology. Each axis name links to its definition.
| Axis | Score (0–2) |
|---|---|
| Output | 2 |
| Inputs | 2 |
| Verification | 2 |
| Liability | 2 |
| Effort delta | 2 |
| Total | 10 / 10 |
The methodology and its thresholds are published in full.
FAQ
- Can ChatGPT make me a revision timetable?
- Yes. Give it your exam dates, complete topic list, confidence levels, available study time and fixed commitments, then ask for a schedule with active recall and spaced reviews. Check the result against your timetable and specification before following it.
- How do I use AI for spaced repetition?
- Ask the model to schedule each topic for initial learning, active recall and later reviews, with weaker topics returning more often. After each session, record whether you recalled the material and use that result to adjust the next review.
- Is an AI revision timetable accurate?
- It can be accurate as a calendar if you provide correct exam dates, topics and availability. It cannot confirm that your syllabus list is complete or judge your memory accurately, so compare it with your specification and use marked questions to test progress.
- What information does AI need to make a study schedule?
- Provide each exam and date, the topics for each paper, your confidence in those topics, the time available, fixed commitments, preferred session length and the resources you will use. Include the date you want the schedule to start and the date revision must finish.
Nearby answers
Assessed by gpt-5.6-luna (gpt-5.6-luna) on 2026-08-13, second-checked by an independent model. Wrong somewhere? Email [email protected] and it gets re-checked.
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