Paper has introduced a new design platform aimed at teams building software with AI agents, positioning the product as a bridge between visual design work and code. The company says its canvas is built on web standards and is meant to keep design, content, and implementation aligned across tools and workflows.

The product, called Paper, is being presented as a connected design environment where teams can work with agents, repositories, and app data in a shared space. The company says this approach is intended to reduce the friction that often appears when designs move from mockup to production. Paper is available in the browser, with a downloadable Windows version also offered.

A central part of the pitch is Paper Desktop, which the company describes as a fully connected canvas that can link visual work with apps, codebases, and AI agents through MCP, a protocol used to connect models to external tools and context. Paper says the workflow is designed to let teams move from design to code and back again without losing structure or context along the way.

The platform is also built around interoperability with developer tools. Paper highlights support for connecting IDE and command-line agents, including systems such as Cursor, Zed, VS Code, iTerm, Claude Code, and GitHub-related workflows. The company says that once connected, agents can read from and write to the canvas, making it possible to sync design tokens, styles, and components between the design surface and the codebase.

Paper is also emphasizing data-driven design. The company says users can pull real content from files, CMS systems, databases, or other apps on a computer or in the cloud, so teams are not limited to placeholder text or static sample data. It says this should make it easier to design using live information and maintain a single source of truth across systems.

Another part of the product message focuses on what Paper calls an “anti-slop” workflow. In the company’s framing, agents can take over repetitive tasks such as responsive layout variations, style consistency checks, and boilerplate generation, while human designers stay focused on higher-level creative decisions. Paper says the canvas is meant to preserve the human role in direction and judgment while automating routine implementation work.

The company is also positioning Paper as a collaborative product for teams shipping with agents. On the site, it points to production use by teams at a range of companies, including Vercel, Perplexity, Lovable, PostHog, Tailwind, Replicate, Zed, Attio, Quartr, Every, Daylight, and Dub. The site presents those logos as examples of companies already using the platform in production.

Paper’s launch materials include examples of how the canvas can display real product interfaces, such as playlist pages and content layouts, to show how design work can stay tied to actual application structure and data. The company also points to a roadmap and build log, suggesting that the product is still evolving alongside planned updates.

For now, Paper is positioning itself in a growing category of tools trying to collapse the gap between design systems, code, and AI-assisted development. Its bet is that teams increasingly want one place where visual design, operational data, and agent-driven implementation can all stay synchronized.