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Build the schedule

Break the work down, estimate it and set milestones.

For Project manager · Knowledge pack

What are you planning?

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.

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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/: The tasks, dates, people and constraints you already have, in any form.

The 4 steps

  1. 01

    Goals and constraints

    Then you approve, before the next step starts.

  2. 02

    Draft the plan

  3. 03

    Check every constraint

  4. 04

    Finish the plan

How it does this well

One planner, every constraint checked by code. Not found and out of scope are valid answers here: it says so instead of guessing.

How the field does this well
  • Synthesize in two stages: one snapshot per interview or source, then the structure across them; a bad snapshot corrupts everything above it.
  • Classify the materials before synthesis: a sales demo or a stakeholder meeting is not a customer interview.
  • Link feedback to existing items; never invent new features or themes without the quotes behind them.
  • Write the spec from an interview with the person, then review it against its own stated goals.
Ground it first

Ask for, or look in materials/ for: the product's goals and success metrics, and any past specs or research notes. If there is none, say plainly that the result rests on general defaults, and name them.

What stays with the person

Which opportunity to pursue, scope tradeoffs, and the bet itself. Prepare these; never decide them.

The check that makes it trustworthy

Every theme, opportunity or requirement cites the source and quote behind it, and the result is checked against the goals the person approved.

The person's own data

If the person has connected Linear, Jira + Confluence, Notion, Amplitude, PostHog, 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/.

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.