
Studio runs on Inference Gateway
Studio makes its model calls through Inference Gateway on your organization's account, and token fees apply under your AI Addendum. Your developers can use the same gateway for their own builds.
Describe the workflow you want in your own words. Studio creates a plain-English plan and technical architecture for you to review.
Studio writes the code, checks the existing plugin library for proven references, and deploys to a sandbox on your Canvas instance.
Test the plugin live. Tell Studio what to change. Publish when it does what you need.
Anyone with subject matter expertise and a willingness to build can use Studio.
You bring the domain expertise, Studio writes the code. The agent encodes your knowledge directly into Canvas. Create your own chart audits, screening triggers, documentation templates, dashboards your team will actually use.
Studio automates provider enrollment, scheduling rules, intake flows and billing. It turns those manual processes into running code.
Your team builds the common 80% without filing a ticket - and engineering steps in where production builds need a human review or the last mile of integration work. Use the Canvas Plugin Assistant from the command line with Claude Code: same Canvas SDK, same governance, same code. Developers building outside Studio can call Claude models through Inference Gateway with a Canvas key.








Canvas Studio is an AI plugin builder that runs in Canvas Platform. Describe what you want in plain English, and Studio writes, tests and deploys the plugin for you. Canvas built Studio on the Canvas SDK and Claude Code.
Anyone with a workflow problem can use Studio, including clinical leaders, operations teams, practice managers and billing staff. You don't need a coding background. Developers can use the same engine through CPA from the command line.
Studio is available to all Canvas customers. Ask your Canvas team to set up access for your organization.
No. Studio runs entirely in the browser in Canvas Platform. No Python, no command line, no IDE.
Anything the Canvas SDK supports - charting apps, dashboards, scheduling workflows, billing automations, patient portal experiences, intake processes, custom data models, agent-driven workflows. If a Canvas plugin can do it, Studio can build a working version - and tell you where a complex build needs review before go-live.
Studio makes its model calls through Inference Gateway on your organization's account. Token fees apply under your AI Addendum and appear on your monthly Canvas invoice. Billing admins can see Studio's spend on the Usage & Billing page in Canvas Platform.
Yes. Each Studio project becomes a GitHub repo that your team has access to. You can take it with you, share it and modify it outside Studio.
CPA is the developer tool, a Claude Code plugin you run from the command line. Studio is the no-code version that runs on top of CPA, so both use the same engine.
You stay in control at every step. Studio moves through Design, Build, Test, and Review and never ships on its own - at each stage it shows a plain-English plan, flags any tradeoffs (security, scale, manual steps, integrations), and waits for your approval. For production-critical builds, your team or a Canvas engineer can review the code and finish the last mile.

Studio is an agent that builds clinical and operational automations in Canvas.