Montage

Montage is an agentic UI rendering platform built for AI agents and LLM-powered applications. It takes a prompt and data context, then server-compiles production-ready UI artifacts from a library of 187 typed, shadow-scoped, theme-aware components — without shipping any runtime to the client. The M1 API is now available, marking the platform's alpha launch.

What It Is

Montage sits between an AI agent and the end user's screen. Instead of asking a language model to generate raw HTML or markdown tables, developers send a structured intent and data payload to Montage's API. The platform resolves that intent against its Atlas component registry, applies design-system tokens, and returns a self-contained HTML artifact ready to mount or iframe. The core value proposition is deterministic, pixel-perfect UI output with no model hallucinations and no layout drift.

How the Rendering Pipeline Works

The workflow has three steps:

• Describe: Send a prompt, real data (as JSON), quality level, and optional brand tokens via REST or SDK.
• Compile: Montage resolves the UI intent server-side, selects the appropriate Atlas template, applies design-system tokens, and returns a self-contained HTML artifact.
• Embed: Use the React HtmlBlock component or any host surface to render the isolated, interactive output with zero CSS conflicts.

The platform claims ahead-of-time (AOT) compilation produces a P95 render time of 38ms and ships 0 KB of runtime to the client, since all compilation happens server-side.

Atlas Component Registry

Montage's Atlas registry contains 187 components at launch, covering:

• Charts: bar, line, donut, heatmap, funnel, network graph
• Layout: dashboard shell, kanban board, treemap, Gantt chart
• Data: data tables, stat cards, progress trackers, calendars, reports

Every component is typed, shadow-scoped, and theme-aware. The same composition/DashboardShell intent can be re-skinned at render time against different design-system tokens — Montage ships two built-in design systems (Montage and Clawdic B&W) plus support for custom token injection.

Integration Surface

Montage exposes two delivery shapes under the same contract:

• REST API: Direct HTTP calls to api.usemontage.ai/v1/generate with a Bearer token.
• SDK: The @montageai/sdk package provides createMontageTools and a React HtmlBlock component for drop-in integration.

The platform is designed to work with agents built on OpenAI, Anthropic, Google, Meta (Llama), Mistral, Cohere, xAI, and DeepSeek models. It also lists compatibility with Vercel AI SDK and Mastra orchestration stacks.

Target Use Cases

Montage targets four primary surfaces:

• AI chat apps: Replace markdown blobs with interactive, themed components inline in chat UI.
• Agent frameworks: Give agents reliable UI output without requiring knowledge of HTML, CSS, or design systems.
• Internal dashboards: Build data-rich dashboards from structured JSON intents.
• SaaS products: Embed AI-generated UI features with shadow-scoped output to avoid CSS conflicts.

Update: M1 API Alpha Launch

The homepage announces the M1 API as newly available, positioning this as the platform's alpha launch phase. The Atlas registry covers 187 templates, the SDK is at v0.3.1, and the platform reports 142.8k API renders with 96% Atlas coverage at the time of the launch readiness snapshot shown on the homepage. Product direction signals continued expansion of the component catalog beyond 200 components.