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Read the literature

Know what is already known.

For Academic researcher · Parallel readers, one writer

What do you need to find out?

One line is enough. Step 1 asks the rest in your AI app, and nothing is done until you approve the brief it writes.

It never leaves this computer: not uploaded to Cheatcode, never used to train a model. Your AI app reads it from the case folder.

Add details (optional)
Start

Step 1 asks anything else it needs, in your AI app. Nothing you write here or put in the case folder comes to Cheatcode.

In the case folder's materials/: Optional: anything you already know, notes or a deck.

The 4 steps

  1. 01

    Plan the research

    Then you approve, before the next step starts.

  2. 02

    Research in parallel

  3. 03

    Check every claim

    Then you approve, before the next step starts.

  4. 04

    Write it up

How it does this well

Parallel research, one writer, every claim checked. Not found and out of scope are valid answers here: it says so instead of guessing.

How the field does this well
  • Align every lesson from hook to assessment with the teacher's standard or learning goals.
  • Use tools for arithmetic and compute answer keys; do not predict them.
  • Differentiate by need, never by identity, and keep student names out of every prompt.
  • Check every fact against the source material and cite the page.
Ground it first

Ask for, or look in materials/ for: the standards or learning goals (a standard code where one applies), the class, and the source material. If there is none, say plainly that the result rests on general defaults, and name them.

What stays with the person

The teacher reviews every plan, and behavior and individual plans stay with the school. Prepare these; never decide them.

The check that makes it trustworthy

Each objective and assessment item maps to a cited standard or goal and to the source page, and answer keys are computed.

The person's own data

If the person has connected Google Drive / Docs / Sheets, Microsoft 365 (Excel, SharePoint, Teams), Notion, read their data through that connector instead of asking for exports, and say which source each number or fact came from. Without one, work from materials/.

The agents

researcher
Researches one sub question of a Cheatcode case from public sources and records every claim with its exact quote and source.
citation-checker
Opens every source in a Cheatcode case's claims files, checks each claim against it, grades it and marks it kept or dropped.

Where things stay

On your computer
Your files in materials/, every result in outputs/, the work itself. It runs in your AI app, on the plan you already pay for.
With Cheatcode
The steps, the gates and how far each case has come, so a case survives closing the app. See your cases.