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Know the audience

Define who the content is for and what they ask.

For Content marketer · 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
  • Run brief, draft, edit, then brand review; the brief states audience, goal and the one message.
  • Make voice rules checkable: behaviors and banned phrases, not adjectives.
  • Verify every statistic, quote and brand reference before publishing.
  • Back attribution claims with an experiment, or label them as correlation.
Ground it first

Ask for, or look in materials/ for: the brand voice rules (positive rules and banned phrases), positioning, and past results. If there is none, say plainly that the result rests on general defaults, and name them.

What stays with the person

Positioning, claims approval, and the final publish decision. Prepare these; never decide them.

The check that makes it trustworthy

A lint pass against the voice rules and banned phrases, every factual claim linked, and attribution claims labeled.

The person's own data

If the person has connected HubSpot, Google Analytics 4, Google Drive / Docs / Sheets, Notion, Figma, 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.