Agents propose, build, and pass quality gates before anything lands — so every revision ships production-ready.
The problem with AI-generated UI
Most AI design tools generate something that looks plausible and hand it straight to you. You’re left reviewing slop — checking spacing, states, and consistency by hand before any of it can ship.
M2 flips that. Agents don’t just produce output; they have to earn their place by passing the same bar your team would hold them to.
Propose → build → gate
Every change an agent makes on the canvas runs through three steps:
- Propose — the agent plans the change and the contract it’s expected to meet (what should be true when it’s done).
- Build — it places real components on the canvas, not a throwaway mockup.
- Gate — before the change lands, it’s evaluated against quality gates. Work that doesn’t pass doesn’t ship.
Because the gate runs before anything lands, you review production-ready revisions instead of cleaning up after the agent.
What this means for you
- No slop. Failed work is caught at the gate, not in your review queue.
- Every revision is shippable. What lands on the canvas already met the bar.
- Agents are accountable. They build, then prove the result — the same way a teammate would.
Next steps
- Connect your AI agent over MCP to start building on your canvas.