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Shape strategy

Size markets, compare competitors and recommend a direction in writing.

For Business operations or strategy · 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
  • Draft from the project's own data with links to every task or document a claim rests on.
  • Reuse the structure of the last update and show the change since then explicitly.
  • Keep risks, assumptions, issues and dependencies apart, and require owner, date, probability and impact on every risk.
  • Validate required fields in code.
Ground it first

Ask for, or look in materials/ for: the previous report or plan, the project data, and the required fields for risks and actions. If there is none, say plainly that the result rests on general defaults, and name them.

What stays with the person

Status calls, escalations, and owner assignment. Prepare these; never decide them.

The check that makes it trustworthy

Every status claim links to its source, required fields are validated in code, and the delta since the last report is shown.

The person's own data

If the person has connected Jira + Confluence, Linear, Notion, Google Drive / Docs / Sheets, Microsoft 365 (Excel, SharePoint, Teams), Slack, 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.