Launching today
Montage
UI Agentic framework for quicker output & less token usage
23 followers
UI Agentic framework for quicker output & less token usage
23 followers
AI agents render UI slowly, expensively, and inconsistently — and a huge chunk of inference bills gets eaten by UI generation. Montage fixes it. Your agent emits a tiny intent schema; we compile it server-side into production components. 10x faster hydration, 50-100x fewer output tokens, model-agnostic, framework-agnostic, themed to your brand. Don't let your agents reinvent UI every turn - ship them on Montage!
Hey Product Hunt 👋
@aboss123 and I have been heads-down on Montage for the past several months — it's the runtime framework for agentic UI!
Why we built it:
After talking to dozens of founders building customer-facing agents, the same pattern kept showing up.
• Their agents rendered UI slowly, expensively, and inconsistently — and a huge chunk of their inference bill was getting eaten by UI generation.
• Every chart, table, kanban, or form regenerated from scratch, token-by-token, every single turn.
• And the UI still looked broken to customers half of the time.
Montage fixes this end-to-end. Instead of generating UI token-by-token, your agent emits a tiny intent schema and we compile it server-side into production HTML/CSS/JS. Components are pre-rendered, themed to your brand, accessible, and responsive.
What's in v1:
• 10x faster hydration vs streamed generation
• 50-100x fewer output tokens per render
• Model-agnostic — Claude, GPT, Gemini, Llama, custom fine-tunes
• Framework-agnostic — React, Vue, Svelte, vanilla, mobile
• Full theming so it looks like your product, not ours
• One-line install
Get started in minutes:
1. Make an API key at usemontage.ai/get-started
2. Read the docs at usemontage.ai/docs/overview (Or hand the docs URL to your coding agent and let it set Montage up for you)
We're starting with agent-building companies because that's where the pain is sharpest, but the thesis is bigger: every AI output that reaches a human is a rendering problem. Montage is the layer underneath all of it!
If you're building customer-facing agents, we'd love your feedback + questions/insight!
Email us at founders@usemontage.ai today, we'll offer extended hands-on integration support for your first agent setup!
Asa.team
The token waste on UI generation is something I only started noticing once I was running agents at scale. You don't feel it on one conversation, but when you're running 10+ parallel sessions the inference bill tells a different story. The intent schema approach makes a lot of sense. What does the fallback look like when the schema doesn't match a component you have, does the agent degrade gracefully or does it just error?
you don't even mention that front end with AI is a weak spot to begin with, so you're really addressing three problems: doing front end work with AI, making it faster, making it cheaper. Kudos.