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YES

As of 13 August 2026, AI can predict likely topics for your exam.

Most people should hand this to a purpose-built tool.

Can you do it?

5 minutesto a draft.

30 minutesto something you’d act on.

Cost, all in£0

Skill neededchat-fluent

Who has to check ityou

What the alternative costsThe available comparison data gives no price for a human tutor or exam-prediction service.

If this goes wrong: you revise too narrowly, miss questions on topics the model ranked low, and lose preparation time before the exam.

What to actually do

  1. Use a tool built for this

    The route this page recommends

  2. Do it yourself

    Second choice

    A chat interface, chat-fluent skill, and roughly 30 minutes until you can act on the result.

    How to actually do it

    1. Open the official specification for your qualification and exam board, then save or copy the sections covering the whole examinable course.
    2. Gather available past papers, mark schemes and examiner reports, keeping the paper dates and exam sessions visible.
    3. Add your own revision notes, mock results and topics you find difficult, removing personal details that are not relevant.
    4. Paste or attach the material in a chatbot with the prompt above, and ask it to state clearly where the evidence is incomplete.
    5. Open the specification beside the response and check that every recommended topic is present, every cited pattern appears in the supplied papers, and no topic has been silently omitted.
    6. Turn the balanced revision plan into your timetable, giving time to the full specification rather than revising only the highest-ranked predictions.
    7. Practise questions from topics ranked both high and low, then update your plan using the mistakes shown by your mark schemes.

    Prompt

    I am preparing for [qualification and subject], using [exam board] and sitting the exam on [exam date]. Analyse the specification, past papers, mark schemes and revision materials pasted or attached below. Identify recurring topics, topics that have not appeared recently, wording or question formats that recur, and any clear changes in emphasis. Produce a ranked list of topics that may be worth prioritising, but do not claim to know what will appear and do not invent trends or missing evidence. For every suggested topic, cite the exact source or explain that the evidence is weak. Separate evidence-based patterns from speculation, list important topics that should still be revised even if they seem less likely, and finish with a balanced revision plan that does not omit any part of the specification. Ask me for missing documents before making a strong recommendation.

Specification:
[ paste or attach ]

Past papers and dates:
[ paste or attach ]

Mark schemes and examiner reports:
[ paste or attach ]

My revision materials and current strengths or weaknesses:
[ paste or attach ]

    Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.

  3. Hand it to a person

    The distant third

    A person who owns the outcome does this end to end, worth it when the failure is dear.

What it gets wrong

  • AI cannot know the contents of an unreleased exam paper or confirm that a predicted topic will appear.
  • It cannot reliably distinguish a meaningful change in examiner emphasis from a small past-paper pattern when the evidence is limited.
  • It cannot replace coverage of the full specification, because a plausible prediction can still be wrong.
  • It cannot know how your teacher has interpreted the course unless you provide that context and evidence.

Even on a YES, the friction has a name: real time truth, judgement under ambiguity and context depth.

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.

AxisScore (0–2)
Output2
Inputs2
Verification1
Liability2
Effort delta2
Total9 / 10

The methodology and its thresholds are published in full.

FAQ

Can ChatGPT predict what will come up in my exam?
It can rank topics using your specification, past papers and mark schemes, but it cannot know what will appear in an unreleased paper. Use the ranking to organise revision, not to skip lower-ranked parts of the course.
How accurate are AI exam predictions?
There is no guaranteed accuracy because the future paper cannot be checked beforehand. The result is more useful when it cites repeated patterns in official materials and openly separates evidence from speculation.
What should I give AI to predict exam topics?
Give it the current specification, dated past papers, mark schemes and examiner reports for your exam board. Add your mock results and weak areas so it can produce a revision plan that reflects your situation rather than only general patterns.
Should I only revise the topics AI predicts?
No. A prediction can be wrong, and exam questions can test any part of the specification. Use the prediction to prioritise practice while continuing to cover the rest of the course.

Nearby answers

All Exams & revision rulings

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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