Methods · Creation, transfer & long horizon · Short guide

F6

Literature review companion

Map a field's arguments and disagreements while verifying each source, so a "lit review" isn't a paraphrased pile of abstracts the model invented.

When to use this
When you want to go deeper
Learning impact
Reliable gain
Learning evidence
Credible with caveats
Where you are with the topic
Building understanding
How often to use it
Build and keep as a habit
What AI is doing (1)Create practice, examples, or schedules
What AI is doing (2)Check answers or claims

When to use it

  • You need a literature map, not a paragraph that sounds like one.
  • Search results keep suggesting papers you have never opened.
  • You want disagreements in the field named before you pick a side.

What to ask AI

Type something like: “Review question: [ ]. Propose a speculative map of major debates and search queries. Mark every paper suggestion unverified. Do not invent citations.”

After you paste real sources you found, ask for help slotting them into the map, never the other way round.

Keep the hard part on your side: you verify every source; the AI organises questions and gaps.

How it helps

A literature review companion helps you map arguments and disagreements while you verify each source.

The failure mode is a polished bibliography of unread or invented items. Speculation must stay labelled.

Used well, AI accelerates search framing and debate mapping; it does not replace reading.

How to run it

  1. State the review question narrowly enough to be wrong about.
  2. Ask for a speculative debate map and search queries, with all citations marked unverified.
  3. Find and open real sources yourself. Paste bibliographic facts you can stand behind.
  4. Slot sources into the map: support, challenge, or side-issue.
  5. Write claims only from sources you have actually read.

Example exchange

You

My review question is whether spaced retrieval beats rereading for long-term retention in undergraduates. Can you sketch a speculative map of the debate? No invented citations.

AI

Search clusters to expect: testing effect versus rereading, delay length, and material type. Treat any paper titles I mention as unverified leads only. What search string will you run first?

You

I'll search for retrieval practice rereading meta-analysis, then open two reviews I actually find.

AI

Good. Paste the real references after you open them, and then we will place them on the map. I will not write your review from leads alone.

Copyable prompt

Review question: [ ].
Propose a SPECULATIVE map of major debates and search queries. Mark all paper suggestions
unverified. Do not invent citations. After I paste real sources I found, help me slot them
into the map. Never write claims from unread sources.

The Tell

Bibliography entries you have never opened are the tell: the companion drafted review theatre, not a review.

If citations appear that you cannot locate, stop and verify, do not paste onward.

Principle evidence

Strength of the underlying learning idea, not a claim about AI products.

The underlying learning idea is rated moderate. Literature-review companionship sits with information literacy, source evaluation, and argument mapping. Verification beats fluent summary; AI-specific review quality is uneven.

AI delivery evidence

Whether an AI tutor delivers this method well is a separate question.

AI delivery is speculative and known-risk: fabricated citations are common. Use AI for maps and queries; treat any reference as unverified until you open it.

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