Use cases

Get oriented on a topic you know nothing about

A routine for using multi-model answers and Deep Research to learn the lay of the land on a new subject, find the main positions and build a reading list.

Updated

Starting on an unfamiliar subject is hard because you do not know what you do not know. The goal of the first hour is not to become expert but to learn the shape of the field: the main terms, the main positions, the key sources and the questions that are still open.

Step 1: ask for a map, not an answer

Ask for the main sub-topics, the vocabulary and the main schools of thought, and what experts disagree about. A good prompt is "Map a debate" from the research prompts. A panel is useful here because different models emphasize different parts of the field.

Step 2: separate facts from values

Many topics mix empirical claims ("this policy reduced costs") with value claims ("costs matter more than access"). Ask the assistant to tell you which disagreements are about facts and which are about values. The first can be investigated; the second are for you to weigh.

Step 3: build a source list

Ask what kinds of primary sources would settle each key question: official statistics, court decisions, peer-reviewed studies, standards documents. Then find them. If you use Deep Research on Plus or above, you get a longer report with links. Treat those links as a reading list. Keplar does not open or check them.

Step 4: test your understanding

Explain the topic back in your own words and ask what you got wrong. Then ask a question a skeptic would ask.

Step 5: record dates

For anything that changes, such as prices, laws, rankings and counts, write down the date and the source. A year later, you will not remember which parts were current.

How Keplar helps, specifically

  • A panel shows where models agree, which marks the settled parts of a topic, and where they differ, which marks the contested parts.
  • The reviewer may remove claims the responses do not support.
  • Follow-ups continue in the same chat, so you can drill into any position.
  • Memory, if on, remembers your goals and projects, so later questions fit.

What to be careful about

Models can be out of date, can blur similar concepts, and can invent references. Normal questions do not use live web lookups. And a clean summary can make a messy field look more settled than it is.

Read Deep Research for costs and limits and What is deep research? for how these modes work in general.

Keep reading

  • Deep Research: What Deep Research does, who can use it, how much it uses, the in-app run estimate, and the honest limit that web lookups are not live.
  • What is AI "deep research", and when is it worth using?: Deep research modes run many searches and read many pages to produce a report. What they do, what they cost, where they fail, and how to judge a report.

Try it on your own question. Keplar is free to start, and each answer shows which models responded and where they differed.

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