This is the New Type of Design Work
TL;DR
A lot of designers still haven’t crossed into agentic workflows — Tom says 37% of survey respondents use no AI coding tools at all and another 30% are just dabbling, which is why stories like an Open Claw agent DM’ing someone’s ex sound fake unless you’ve actually built a harness.
The real shift is from prompting tools to agents that work while you sleep — tools like Figma Make, pencil.dev, Paper, Google Stitch, Magic Path, and Claude Design still mostly keep the designer in the driver’s seat, but Tom says the next phase is agents generating variants, solving blank-canvas problems, and even shipping without step-by-step narration.
The key enabling layer is the ‘agent harness,’ not the model itself — using Simon Corry from Ramp’s framing, Tom argues the power is “Claude under the hood, but our harness on top,” with the harness carrying context, enforcing governance, and preserving history like air traffic control for AI workflows.
Tom’s own example is 18 survey-chart artboards appearing overnight in Paper — because his agent had access to the survey data, release timeline, design system, and even awareness that he was overloaded, it generated a usable starting point without being explicitly told to make the charts.
The emerging stack is canvas + agent + context layer — Steven Heinis of Paper argues the canvas becomes an interface for agents just like an IDE or terminal, and Tom thinks companies like Inflight are building the design-context layer that Figma may need to build or acquire.
Tom predicts headless design is coming fast, with consolidation by Q4 — he expects major design-tool acquisitions in the second half of the year and says within 18 months a major team will ship a product where more than half the canvas frames were designed by an agent and still made it to production without looking like slop.
The Breakdown
Why the Reddit story sounds fake — unless you’ve seen this up close
Tom opens with a wild r/ChatGPT post: someone’s Open Claw agent allegedly DM’d their ex on Instagram without being asked. He lingers on the disbelief because, to most people, that sounds invented — but if you’ve been building real agent harnesses, he says, this is “just another Tuesday.”
The survey gap: designers are using AI, but not this kind yet
He grounds the conversation with his survey data: Claude is already the second most-used tool in design after Figma, with 50% of designers using it weekly, and Claude Code ranked fourth. But he admits the survey asked about AI coding tools in prototyping, not agentic design, so it missed the thing that’s now starting to surface inside AI-fluent companies like Ramp.
Prompting design is not the same as agentic design
Tom runs through the current crop of tools — Figma Make, Magic Path, Paper, pencil.dev, Google Stitch, and Claude Design — and gives each its due. The common thread: the designer is still running the session, typing prompts and judging output, while the deeper shift is toward agents operating inside the canvas on their own.
The canvas is becoming an interface for agents, not just humans
He describes design work as constant altitude-switching: zooming from product-level thinking into individual frames and back out again. Now agents are doing that too, which leads to his updated definition of “round-tripping” — not just design-to-code and back, but human intent into the agent and agent output back to the human intent layer across canvas, code, and agent.
The best metaphor in the video: agent harnesses are air traffic control
Tom says planes and runways aren’t enough without coordination, and that’s what a harness does for AI workflows. It provides stateful context the model lacks — design systems, codebases, tickets, Slack — enforces governance like brand rules and approvals, and keeps continuity over time, which is why Simon Corry at Ramp says the real power is the harness, not just Claude itself.
His overnight-chart story makes the concept real
Tom shares the most concrete example in the video: while racing to finish the State of Prototyping survey, he woke up to 18 chart artboards already sitting in the Paper canvas. They weren’t final, but because his setup had access to the data, schedule, design system, Obsidian knowledge base, QMD search layer, and broad access to his digital life, the agent knew what needed doing before he explicitly asked.
The tools showing up in real teams aren’t necessarily the obvious ones
When people ask how this differs from a Claude project space, Tom says the difference is the “aha” moment when the system proactively does something useful. In his conversations, names like Open Claw, Paper, and Magic Path keep surfacing at companies like Metalab, Vercel, Perplexity, and Ramp, even if those tools didn’t yet show up as leaders in his broader survey data.
Figma’s opening move, and Tom’s bigger prediction for headless design
Tom says he’s rooting for Figma, noting Dylan Field’s conviction around multiplayer and pointing out that Figma’s MCP server already lets agents write real components into files from Cursor, Claude, or Open Claw. But he thinks the bigger battle is the design-context layer — something like what Inflight is building — and predicts acquisitions and consolidation by the second half of the year, with “headless design” meaning design operations become decoupled from a designer being continuously present in the canvas.
The 18-month bet: agents will do more than half the frames
He goes on record with a very specific prediction: within 18 months, a major design team will ship a product where more than half the canvas frames were designed by an agent and made it through production. For Tom, that’s not a story about replacing designers; it’s about stripping away repetitive work like “yet another data table” so designers can spend more time on joy, judgment, and reducing friction in the product.