Design tools have been overdue for a rethink. Paper, the new tool from renowned design studio Metalab, enters a crowded market with a bold claim: that AI can be woven into the design process without getting in the way of creativity. If it delivers, it could reshape how product teams move from rough idea to polished interface.
What Is Paper?
Paper is an AI-assisted design and collaboration platform built by Metalab, the studio behind the original designs for Slack, Headspace, and dozens of other high-profile products. Unlike tools that bolt AI on as an afterthought, Paper was architected from the ground up with machine intelligence at its core.
The tool targets product designers, design leads, and cross-functional teams who need to move fast without sacrificing quality. It sits somewhere between a whiteboarding tool and a full-fidelity design environment — fluid enough for early exploration, structured enough for handoff.
Why Metalab Building This Matters
Metalab is not a software startup looking for a market. It is a studio with decades of hands-on experience shipping products that millions of people use daily. That pedigree means Paper is informed by real production pain points, not theoretical ones.
When a team with that kind of design credibility decides to build its own tool rather than keep using existing ones, the industry pays attention.
Key Features at a Glance
Paper is still rolling out its full feature set, but several capabilities have already drawn significant interest from the design community.
AI-assisted layout generation: Describe a screen or component in plain language and Paper generates a starting layout, saving teams the blank-canvas paralysis that slows early sprints.
Contextual design suggestions: As you work, the AI surfaces relevant patterns, spacing adjustments, and component alternatives based on your existing design system.
Real-time collaboration: Multiple contributors can work simultaneously in the same file, with presence indicators and threaded comments keeping feedback loops tight.
Handoff-ready output: Paper generates clean specs and assets that developers can consume directly, reducing the back-and-forth that typically eats post-design time.
Version history and branching: Teams can explore divergent design directions in parallel branches and merge the best elements, much like a Git workflow for visual work.
Pro Tip: If your team already uses a component library or design system, look for early documentation on how Paper ingests existing tokens and styles — getting that import right on day one will save hours of cleanup later.
How Paper Compares to Figma and Other Incumbents
The obvious question is how Paper stacks up against Figma, which currently dominates professional design workflows. The honest answer is that it is too early for a definitive verdict — but the positioning is clearly deliberate.
Where Figma has added AI features incrementally to an established vector-editing foundation, Paper is betting that a native-AI architecture produces a fundamentally smoother experience. Think of it as the difference between adding cruise control to a car versus designing a self-driving system from scratch.
Where Paper Has an Edge
Early users report that Paper feels faster for ideation-heavy phases of a project. The AI prompting layer removes friction at the moment when designers most need momentum — the beginning of a new feature or flow.
The collaboration model also appears more tightly integrated than Figma's comment system, with AI able to summarize feedback threads and suggest resolution paths. That alone could be a meaningful time-saver for large teams.
Where Questions Remain
Plugin ecosystems, enterprise security certifications, and deep integrations with tools like Jira, GitHub, and Storybook are table stakes for large organizations. Paper will need to build or partner its way to feature parity in these areas to compete for enterprise contracts.
Pricing has not been fully disclosed at the time of writing, which makes total-cost-of-ownership comparisons premature.
Who Should Be Watching Paper Closely
Not every team needs to switch tools the moment something new launches. But certain profiles should be evaluating Paper seriously right now.
Early-stage startups: Teams without entrenched tooling or large existing Figma libraries have the least switching cost and the most to gain from a faster ideation loop.
Design agencies: Shops that spin up new projects constantly will benefit from AI-assisted scaffolding that gets each engagement moving quickly.
Product teams in AI-native companies: Organizations already comfortable with AI-assisted workflows will find Paper's model intuitive rather than disruptive.
Design leaders evaluating 2025 tooling: If you are conducting a tooling review this year, Paper deserves a seat at the table alongside Figma, Sketch, and Framer.
Important: Paper is still in early access as of this writing. Feature availability, pricing, and integrations are subject to change. Check paper.design for the latest updates before making any procurement decisions.
Key Takeaways
Built by practitioners, not theorists: Metalab's production design background gives Paper a credibility advantage that most new tools lack on day one.
AI is structural, not cosmetic: The platform was designed around AI assistance rather than having it added later, which should produce a more coherent user experience over time.
Best suited for ideation-heavy workflows: Early evidence suggests Paper shines in the exploration and early-iteration phases of a project.
Enterprise readiness is still developing: Large organizations should monitor progress on integrations, security certifications, and plugin support before committing.
Worth a serious evaluation in 2025: Even if you do not switch immediately, understanding Paper's approach will inform how you think about AI in your design process going forward.