Dizzy — Voice-to-Figma AI Interface Builder

Voice-to-Native-Figma UI Creation Concept

Author
Category
Design Engineering
Language
Voice/JEV, Figma MCP, Semantic Buffer, Agents
Status
concept
[ Architecture ][ Docs ]

Structured Facts

Built by
Rounak Neema
Domain
UI Generation
Integrations
Figma MCP

Speak Your Interface
Into Existence.

"█"
↓ Designing...
GENERATED OUTPUT
┌────────────────────────────────────────────────────────┐
│ ▌ Dashboard                         ○ ○ ○              │
│ ────────────────────────────────────────────────────── │
│                                                        │
│  [ Total Revenue ]         [ Active Users ]            │
│  $48,920 ↑ +18.4%          12,490 ↑ +5.2%              │
│                                                        │
│  ──────────────────────────╮                           │
│  Revenue Graph             │                           │
│     ╭──╮             ╭──╮  │                           │
│  ───╯  ╰───╮      ╭──╯  ╰──╯                           │
│            ╰──────╯                                    │
│  ──────────────────────────╯                           │
└────────────────────────────────────────────────────────┘
USER:"Make the sidebar narrower."
↓ SEMANTIC UPDATE
sidebar.width: 320 → 240
↓ FIGMA MCP CALL
FRAME UPDATED ✓

The Challenge

Traditional generative UI tools output flattened PNGs or uneditable code. Designers need voice-driven generation that produces native, editable Figma objects.

?

The Solution

An agentic architecture translating streaming speech into a semantic command buffer, generating structured design operations via Figma MCP.

System Architecture Overview

[ USER VOICE ] 
      │ 
      ▼ 
[ JEV / STREAMING VOICE TRANSLATOR ]
      │ (transcript: "create a dark dashboard")
      ▼ 
[ AGENT INTENT PARSER ] 
  ├── Pass 1: High-Level Decomposition (TypeSafe)
  │     → Operation: GENERATE_DASHBOARD
  │     → Theme: DARK
  └── Pass 2: Color Resolution
        → "dark navy" -> hex palettes
      │ 
      ▼ 
[ SEMANTIC COMMAND BUFFER ]
      │ (blueprint generated)
      ▼ 
[ FIGMA MCP PLUGIN ]
      │ 
      ▼ 
[ NATIVE FIGMA OBJECTS ]

Concept Manifesto

Dizzy is a product architecture concept for voice-driven UI design. Instead of generating images, it streams voice input to an agent that builds a semantic command buffer. This buffer translates intent into structured operations for the Figma MCP, allowing the system to progressively modify native Figma designs. Later commands can intelligently update earlier decisions rather than creating entirely new assets.

Technical Specs

  • Native OutputManipulates native Figma objects via Figma MCP instead of generating images.
  • Semantic BufferMaintains structured design state to allow progressive and contextual modifications.
  • WorkflowJEV/Streaming Voice → Agent Intent → Design Operations → Figma MCP.
  • VisionExpanding into an agentic product design loop integrating visual comparison and code generation.
Streaming VoiceInput
Figma NativeOutput
Figma MCPIntegration
Semantic BufferState
Voice/JEVFigma MCPSemantic BufferAgents

Frequently Asked Questions

What is Dizzy?

Dizzy is a voice-to-Figma AI interface builder that translates voice commands into native Figma UI elements.

How does voice-controlled UI generation work?

It uses a streaming voice translator to parse intents, decompose them into operations and themes, and generate a semantic blueprint.

How does Dizzy interact with Figma?

It utilizes a custom Figma MCP plugin to dispatch commands directly into Figma, creating native and editable objects.

What is the semantic command buffer?

It is an AST blueprint generated by the agent intent parser that orchestrates operations before they are sent to Figma.

Does it generate native Figma layers?

Yes, unlike many tools that generate flattened PNGs, Dizzy creates fully editable native Figma layers.

What is the main use case for Dizzy?

Dizzy excels at rapid domain UI generation, allowing designers to scaffold complex interfaces like dashboards through voice.

VOICE TO NATIVE FIGMA • SEMANTIC BUFFER • AGENTIC WORKFLOW • GENERATIVE UI • NO FLATTENED PNGS • JEV LATEST •

Also by Rounak Neema

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