drafty

ChatGPT Canvas vs Claude Artifacts vs Gemini Canvas

Three takes on the same idea — a live workspace beside the chat. Here's what each is genuinely best at, and how they differ where it counts.

Quick answer
All three put a live, editable workspace next to the conversation. ChatGPT Canvas is strongest for long-form writing and code you edit inline; Claude Artifacts for self-contained apps and pages you preview; Gemini Canvas for tight Google-ecosystem and doc workflows. They differ most on how you share the result — which is where they're all still thin.

At a glance

ChatGPT CanvasClaude ArtifactsGemini Canvas
Best forlong-form writing + inline code editsself-contained apps, pages, docsdocs + Google-ecosystem tasks
Editingedit-in-place, targeted rewritesregenerate / iterate by askingedit-in-place
Live previewyes (code/app)yes (apps, pages, charts)yes
Share as a public linklimitedlimitedlimited
Comments from others

Capabilities move fast — check each product's docs for the current state. The pattern that's held: all three are great at make-and-iterate, and weaker the moment you need someone else to review the result.

Where they're each strongest

ChatGPT Canvas shines when the artifact is text — an essay, a spec, a function — and you want to edit specific parts without regenerating the whole thing.

Claude Artifacts shine when the artifact is a thing — a working mini-app, a landing page, a chart — that you'd rather see than read as code.

Gemini Canvas shines inside Google's world — drafting alongside Docs and the rest of Workspace.

The shared gap: review

Notice the bottom two rows. None of the three is built for the step after you make something: handing it to a client, a teammate, or a stakeholder who needs to point at the exact spot and leave a note — without logging into your AI tool.

Where Drafty fits
Drafty is the review layer on top of whichever canvas you use. Publish the artifact — from any of these tools — to a link that renders on any device, and anyone can click the exact element and comment with no account. Your agent reads the feedback and ships a new version on the same URL. It's deliberately tool-agnostic: it doesn't care which canvas made the artifact.

So the real choice isn't only which canvas to generate in — it's making sure whatever you generate can be shared and reviewed. Pick the canvas that fits the work; add a review layer for the people who have to sign off.