
Written by a model from the transcript; not yet reviewed.
This episode features Stephen Haney, founder of Paper, discussing the design tool built specifically for the agent era. The conversation explores how Paper uses HTML and CSS as its rendering engine to streamline the handoff between designers, developers, and AI agents. Haney and the host review user-submitted landing pages, diagnosing common AI-generated design flaws—such as excessive font weights, overuse of cards, and generic purple gradients—and demonstrating how Paper and AI agents can rapidly iterate on and improve those interfaces. The discussion emphasizes that while agents can accelerate production, human taste, values alignment, and intentional curation remain the true differentiators for exceptional software companies.
The hosts introduce Stephen Haney and explain Paper’s core concept of using HTML/CSS as a rendering engine to enable agent‑native design tools.
The team demonstrates how to import live site content, edit it in Paper, and export refined designs back into the codebase, improving brand consistency and user experience.
Paper offers a library of WebGL shaders, multi‑model image generation, and built‑in typography guardrails to help designers create polished assets quickly.
The hosts identify typical AI‑generated design pitfalls—overuse of bold, too many font sizes, vague color choices—and share practical rules to make outputs feel intentional and trustworthy.
Paper allows designers to copy designs as React or Tailwind code, and agents can automatically generate components in the codebase, eliminating the traditional handoff bottleneck.
They explore how AI models generate design, the need for better models, and the importance of human control over outputs.
The conversation turns to whether agents can learn taste and ultimately replace human design decisions, concluding humans remain essential.
They detail how Paper uses agents for coding, design, and quality control, while still relying heavily on human review and precision.
The hosts discuss how Paper’s focus on authentic values and community engagement helped grow a user base before a product launch.
The founder reflects on past ventures, emphasizing simplicity, user focus, and avoiding overcomplication in product building.
HTML and CSS as Rendering Engineinsight
Paper uses HTML and CSS as its underlying rendering engine because agents understand them natively, resulting in lower token spend, faster speeds, and higher accuracy compared to custom rendering engines.
Studying Physical Paper for Shadersstory
The team went to extreme lengths to study actual physical paper and model the randomness of real-world effects into code, creating an open-source WebGL shader library that brand designers love.
Desktop Integration and MCP Serverstrategy
After the Claude Code explosion in late 2025, Paper built a desktop app with a built-in Model Context Protocol server, allowing coding agents to directly read and write visual elements on the canvas.
Single Source of Truth in Codebaseinsight
Instead of maintaining separate design systems that inevitably drift out of sync, modern agentic builders use the codebase itself as the single source of truth.
Nightly Agent Iteration Loopsstrategy
Teams set up loops where agents generate hundreds of design variations overnight, allowing humans to come in the morning and curate the best ideas.
Growing Followers Before Having a Productdata
Before having a product for the first year, Paper amassed 25,000 Twitter followers purely by publicly discussing their values and love for design.
“I don't think it helps you stand out from the crowd.”
“We see a lot of people are just kind of like, this is the whole loop now. Like, there isn't even a handoff anymore.”
“And so I think design is this great differentiator.”
“If you look at every great company of the last 10, 20 years, basically all of them have exceptional design.”
“We don't think of this as product development. We think of it, instead of buying ads, let's make this useful library for the world.”
“I think what I'm encouraged by is a model like Fable seems much more thoughtful.”
“If you have less people, you have less communication burden, you have less of these other costs, uh, to go through.”
“We didn't have a product for the first year and we still got to about 25,000 Twitter followers just by talking about our values.”
“I had a rule, the first year of the company, I had to talk to a designer every single day.”
“We are building out some table stakes, components, comments, bottleneck reducers.”
AI isn't just changing the tools designers use. It's changing how they build, ship, and stand out. In this episode of Design Review, Stephen Haney, founder of AI-native design tool Paper, joins YC General Partner Aaron Epstein to demo the agent-first workflow that's making Paper one of the fastest-growing design tools since Figma. Using live redesigns of user-submitted websites as examples, they break down the most common AI design tells, show how to fix them in seconds, and explain why the biggest risk for founders isn't moving too slow, it's shipping something that looks like everyone else.
13,002 words · 3 speakers
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