Existing users can review saved architecture work, account history, provider connections, and retained learning routes without changing their data.
Saved diagrams, provider access, deployment history, and retained learning routes remain available through the existing account.
Your saved diagrams remain available with provider tags, architecture details, and account history through the existing workspace routes.
AWS, Azure, GCP, and OCI architecture work remains available in one account for review, provider connections, and optional deployment.
Existing learning history and certificate routes remain available to current users without changing account data or public URLs.
Review saved architecture work, provider coverage, deployments, and account activity from the existing workspace.
Current users can continue using structured learning paths and related account history through their existing routes.
Existing users can continue reviewing architecture scenarios and related activity without changing the Canvas Cloud AI account boundary.
From account setup to Cloud World Model access.
Open the canvas workspace to review existing diagrams or continue architecture work.
Use Account Settings for shared credits, provider access, and a Canvas Cloud AI API key.
Use the separate Cloud World Model credential after setting up the Canvas Cloud AI account and cca_ key.
Existing diagrams, provider coverage, deployment history, and learning records remain available through the account and legacy workspace routes.
Manage shared credits and cca_ API keys, then continue to Cloud World Model with its separate credential.
Open Account and Keys