Quickstart

Generate your first diagram with AI, then make it yours. About five minutes.

Sign up if you have not already, and create a file from the dashboard (^ N) – choose Canvas.

1. Generate a diagram from a prompt

In the canvas, press / to open the insert menu, choose Diagram as Code then AI Diagram – or press ⌘J / Ctrl+J to go straight there.

Describe the system in plain language. Something like:

A web app behind an API gateway, with a Lambda writing to a Postgres
database and publishing events to a queue that three workers consume.

Click Generate. You do not have to pick a diagram type – Eraser chooses the one that fits, though you can override it. More in AI diagrams.

2. Refine it

The output is diagram-as-code, so you can edit the text directly and the canvas updates as you type. Add a node, rename one, or attach an icon:

Analytics [icon: aws-redshift]

You can also keep prompting to change the diagram, or drag things on the canvas – layout stays clean either way.

3. Start from something real

Rather than a prompt, point Eraser at what you already have:

• an existing image of a diagram, including a photo of a whiteboard
• a file such as Terraform or a database schema
• a Git repository, to generate codebase diagrams that Eraserbot keeps current as the code changes

4. Make output consistent

Generic diagrams are the usual problem with AI. Templates, references, rules and custom styles ground generation in your own architecture and conventions.

Next

Create a map of your architecture from your team’s data, connect the MCP server so coding agents can create and update diagrams directly, or read what is Eraser? for the wider picture.