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How Draftroom Works

Draftroom is built around context. Instead of keeping everything in disconnected documents and chat threads, Draftroom gives your work a structure.

4 min read

The core model is simple:

Systems hold reusable context.

Projects apply that context to a specific thing you're making.

Artifacts add supporting material, like notes, outlines, research, and source files.

Drafts are where the writing happens.

An example in fiction

A fiction writer might create a System for a mystery series — with Artifacts for character notes, world rules, and research — then a Project for Book One, and Drafts for individual chapters or scenes.

The System and its Artifacts travel with every book in the series. The Project keeps Book One separate from Book Two. Working notes inside the Project track what's in focus this session.

An example in course creation

A course creator might create a System for their teaching framework — with Artifacts for source material and reference guides — a Project for a specific course, and Drafts for modules, scripts, and worksheets.

The System carries the teaching approach and its Artifacts across every course. Each Project is a separate course. The Drafts are the actual content created inside it.

Why this matters for AI

Most AI tools start with a blank prompt. Draftroom starts with structure.

When you work inside a Project that's connected to a System and its Artifacts, the AI understands the context behind the draft, not just the words in front of it. You're not re-explaining everything every session.

The author stays in control. Every AI suggestion is proposed, not applied. You accept, reject, or refine, line by line.

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